803 Data Mining Jobs - Page 3

We are seeking a highly motivated and experienced scientist to join our team. The candidate will be responsible for converting business requirements into explanations and scenarios that are comprehensible to subject matter experts and can be later translated into user stories by business analysts. Collaborating with a team of subject matter experts to offer a researcher?s perspective, aiding in anticipating and identifying end-user requirements for software product development. Key Responsibilities Supporting R&D Activities: Supporting the software development team in executing proof of concept studies and contributing to the development process to create the final solution or software product. Participate in cross-functional brainstorming and contribute to product vision and roadmap. Reviewing and Signing off User Stories: Collaborating with subject matter experts and the development team to review user stories, ensuring alignment with desired business outcomes. Signing off on requirements based on the anticipated business benefits that the execution of those stories and epics will deliver. Showcasing Product Releases: Presenting product releases to stakeholders. Supporting Marketing/Business Development: Offering product and innovation expertise to support marketing and business development efforts. Participating in Prioritization and Planning Meetings: ?Actively participating in stakeholder meetings to triage and offer insights that assist in prioritizing and preparing the product roadmap for projects. Bridging Business Development and Product Development: Serving as a liaison between these two teams. Product Testing: Engaging in testing activities, including either direct testing or providing support to SMEs, QAs, and developers in testing the product before the final release. Offering domain expertise to assist QAs in writing effective test cases. Design and validate models or algorithms related to NLP, AI, machine learning, or data mining as applicable. Required Skills and Qualifications Ph.D. in a relevant?field (e.g., Life science, Engineering etc.). Proven experience in designing and conducting research projects. Proficiency in data mining and statistical software/tools. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Ability to work independently and collaboratively in a team environment. Ability to convert theoretical concepts into practical, scalable software solutions. Demonstrated publication record in reputable scientific journals is preferred. Role? Research Scientist Product Development

Senior Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Roles and Responsibilities: You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms You will develop compelling stories with business insights, focusing on strategic goals of the organization You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness Set high standards in project management; own scope and timelines for the team Mandatory Qualifications: Bachelors/masters degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field 3+ years of high quality hands-on experience in analytics and data science Hands on experience in SQL and Python Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization. Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction Work experience in Consumer-tech organizations would be a plus Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning

The Role will be responsible to support the business teams across categories and regions in the US / International markets. The team member will independently and proactively support a wide variety of planograming & reporting needs including refreshing excel reports & initiating value adds, proprietary tool proficiency and technical expertise on planograming. Job responsibilities: Deliver Standard and Adhoc Reports/POGs | Build Reports/POGs from scratch Master and own the monthly deliverables in the form of reports & presentations and send quality output in a timely manner Upgrade monthly deliverables based on business requirements and facilitate the larger team create functional, high impact efficient reports Comprehend the nuances of trade, merchandising & category strategies and leverage various tools to build real-time performance trackers from scratch with crisp observations and insights Work alongside of peers and inculcate best practices and tackle real time business questions with value adds Display a high sense of accountability and presence of mind when completing requests with high visibility or tight turnaround times and communicate effectively Find synergies in the reports/database to avoid redundancy Resource Pool on complex projects with the team and contribute to brand building Technical Expertise Apply intermediate/advanced level of expertise in intermediate/advanced level of expertise in MS Excel, MS Powerpoint, MS Access, Tableau, Nitro/Demand transfer/Retail link, BeX, BO, ECRM, FeatureVision, Nielsen etc Actively learn & implement principles of trade & category management Build a robust audit system for all reporting activity Build an awareness of existing macros in the team and re-use to make data mining, data harmonization and data audit efficient and effective Undergo trainings: As recommended and self-initiated refresher trainings to keep abreast of tool dynamics and their functional as we'll as tactical applications Knowledge Sharing: Gain in-depth knowledge of customer details as we'll as a comprehensive understanding of GMI product groups and DMSP strategies and share new learning s with the team on a continual basis Continuous Improvement mindset to deliver Executional Excellence, Stakeholder and Project Management Ensure TAT is upheld via awareness on process requirements, meeting benchmark time estimates and through articulate expectation settings with the stakeholder Guarantee data quality and accuracy through thorough comprehension of request, accurate application of tools/platforms with an eye for detail and a robust data & logic check Eliminate Waste, Contribute to the Functional Productivity Goals CI Mindset: develop a lens of continuous improvement for the projects, process & larger team Stakeholder Management: Engage with the stakeholders to understand the requirement, explain tactical application in our reports/process, cross reference projects and present final output upon project completion Project Management: Juggle multiple projects seamlessly starting with project scoping, to tackling hurdles to timely communication/iterations with peers and stakeholders to high impact completion and presentation. Mentoring & Training Executive and Associates to excel in their roles and outperform expectations Education Minimum Degree Requirements: Bachelors Preferred Degree Requirements: Bachelors/Masters Preferred Major Area of Study: Business Management, Statistics, Marketing, Retail, Economics Experience Minimum years of related experience required: 3 years of relevant Business Reporting or Analytics experience in CPG (or related) industry. Preferred years of related experience: 3 - 5 years of relevant Business Reporting and/or Analytics experience Specific Job Experience or Skills Needed Experience with market data analysis tools is preferred MS Office proficiency preferred Attention to detail, ability to complete given tasks with accuracy Comprehending complex requests & meeting timelines and expectations Strong command over oral and written English Continuous Improvement mindset MS Office proficiency especially Excel Multitasking ability - work on a host of tools/databases and software s/platforms Organization and Prioritization Collaborate with peers to align with the team s vision Ability to make optimal placement & assortment related decisions Experience with market data analysis tools is required (experience working with ACNielsen and IRI data preferred.) Experience with Planogram building software (ProSpace or Apollo) is preferred - SMS Introduction to Grocery Retail Concepts is preferred- SMS Competencies/Behaviors required for job Company Values - Do the right thing all the time; Play to win; Grow and Inspire; Win as a team; Act boldly move quickly Seeks assistance, information and resources at the right time to make quick, good decisions Resilience - willingness to change mind or approach given new information Develops an awareness of owns strengths and development needs; seeks and learns from feedback Inclination to learn end-to-end project completion Communicate effectively with peers & stakeholders; influence team on applying initiatives. Proactive and the ability to handle ambiguous situations in a calm, composed manner.

As a Recruiter at Apple, your main goal is to identify, assess, and bring top talent to Apple Apple Recruiters are strategic partners for the business they support, and compelling ambassadors of Apple You will be responsible for guiding managers and candidates through Apple s selection process and maintaining excellent relations with hiring managers, candidates, and the community at large This position is technically focused so experience with leading-edge software and hardware products is critical Key Responsibilities: Partner with senior leadership and hiring managers to identify and build out staffing needs and strategies Build and maintain strong relationships, and have a keen sense of negotiation with all customers including candidates, managers and business partners Create and maintain strong working relationships with the Corporate Team s leaders, staffing community and other team members to create a partnership that yields success, predictable results, and credibility Have solid understanding of the complete recruiting function, including: research, sourcing, networking, behaviour based interviewing and closing Initiate and maintain excellent working relations within the Apple People organisation Effective communication approaches that include: keeping others informed, appropriately expressing ideas and thoughts, verbally and in written form, and timeliness Maintain flexibility to deal with ambiguity and the evolving needs of the business environment Stay informed of trends and innovative recruiting techniques in order to be competitive in state-of-the-art recruiting practices 3+ years of experience in recruiting in high-volume technology roles in a corporate environment and supporting one or more corporate functions Previous experience of recruiting talent within a multinational (ideally US headquartered) Preferred Qualifications Excels at building trust-based relationships with senior leadership to ensure alignment and engagement High level of influence, can change the mind of leadership, candidates Demonstrable track record in building confidence and creditability with business partners Has a can do attitude that can adapt and flex to the needs of the business and recruiting function and with a genuine dedication to customer service Ability to cut through ambiguity Experience in using data analysis and metrics to support sourcing / recruiting strategies / timelines Currently designs, develops and effectively executes tailored sourcing / recruiting strategies Proven ability to work in a fast paced environment and manage multiple tasks and projects simultaneously Excellent project management, organisation and time management skills Exceptional interpersonal and communication skills Proven social networking proficiency including in depth data mining abilities Exceptional presentation (Keynote / Powerpoint) skills - ability to illustrate a complex challenge or idea in simple business terms

We are seeking a dynamic and driven International Sales Coordinator to manage and expand our client base in the Middle East. The ideal candidate will have a strong understanding of sales processes, particularly in the software industry. They should be capable of handling end-to-end sales coordination, including: Lead generation Client engagement Product demonstrations Delegation visits This role requires excellent communication skills, a proactive approach to marketing, and the flexibility to travel as needed. Key Responsibilities: Conduct data mining and market research to identify potential business opportunities. Generate quality leads from online sources such as LinkedIn, Google, Facebook, etc Understand customer requirements and effectively communicate how our services meet their needs. Identify key decision-makers within target organizations and initiate outreach. Share marketing materials via email to engage prospects. Follow up with prospects to drive interest, schedule demos, and convert leads into opportunities. Maintain and update information regularly in the CRM system. Research target accounts, identify key stakeholders, and generate interest in our services. Collaborate with channel partners to build a strong sales pipeline and close deals. Conduct effective online demos for prospects to showcase the value of our services. Experience and Qualifications: 5-7 years of experience in International Sales, including 2-3 years of focused experience in the Middle East market. Proven ability in lead generation through LinkedIn, cold calling, email marketing, and client referrals. Strong communication and interpersonal skills, with the ability to engage and build relationships with clients, particularly in the Middle East region

As a member of Amazons Global Retail Systems Development team, youll play a key role in solving complex technical challenges involving Large-scale computing, Distributed systems, Web applications, Data mining, Scalability, Security, and Algorithms. Innovation Are you seeking an environment where you can drive innovation? Do you want to apply state-of-the-art computer science and advanced information retrieval techniques to solve real-world business challenges? Does the challenge of building real-time, highly scalable solutions using innovative technology excite you? Opportunity To meet these challenges, the Amazon.com Retail Systems team is looking for passionate, talented and innovative software engineers for a new team that will be based in Bangalore. You are expected to solve complex problems at massive scale. You will build Interfaces that embrace the best practices of Usability, Accessibility, security and performance. You will build systems with robust design, and produce APIs that are intuitive. Come be part of this growing, dynamic and challenging space 5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

Amazon is seeking a candidate to identify, develop and integrate innovative solutions and programs that lead to improvements that redefine the standards for customer experience in our North American Transportation Network. Amazon transportation encompasses all of the operations that deliver shipments from our fulfillment centers and third party locations to customers worldwide. TESS team in Hyderabad is looking for an innovative, hands-on and customer-obsessed BIE for its Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.As a BIE II on the Transportation Engineering Systems Team, you will own business stakeholder engagement, focus on delivering new, or streamlining existing processes and programs, and create documentation to support defect reduction, improvements in productivity, and shape mid to long term planning and prioritization for supported business groups. You ll work cross functionally with a broad range of business stakeholders to define detailed requirements and implement process/system based solutions for the Amazon Fulfillment/Transportation Network. You will also work on creating documentation to support defect reduction, improvements in productivity and identify and mitigate associated risks. Additionally, this role will create operational structure and change control for our quickly evolving landscape and provide strategic direction and subject matter expertise in determining investment prioritization for our business analytics and tech partners. You will utilize a range of analytical tools and techniques to build business reports, generate dashboards, create metrics to measure success and negotiate required tech features and their priority while driving process automation. 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Not Applicable Specialism Deals Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn t clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firms code of conduct, and independence requirements. Responsibilities Overall responsibility for understanding the business development team s infrastructure requirements and specifications to provide a stable and scalable application environment. Create detailed and comprehensive documentations such as infrastructure design documents, security design documents, disaster recovery plans, etc. Manage and perform maintenance on cloud infrastructure and code repositories. Implement CI/CD pipelines using Azure Data Factory, Azure Synapse Analytics, and thirdparty extensions or develop custom solutions to meet specific needs Participate in establishing best practices in DevOps and infrastructure usage. Support IT asset management Identify opportunities to improve the application performance and security. Provide trainings for junior resources. Required Qualifications Bachelors degree in computer science, information technology, or related area (equivalent work experience will be considered). 3+ years work experience with Azure cloud deployments and maintenance such as virtual machines, PostgresSQL, SQL Server, Storage Account, Key Vault, virtual private network, Synapse, etc. 3+ years work experience in implementing Azure DevOps (ADO). Proficiency in using tools such as Azure Repos, Azure Pipelines, Azure Boards, Azure Artifacts, Azure Test Plans, and Azure DevOps CLI is required. Experience in one or more DevOps/IT operation tools such as code management and build tools (e.g., Git, Maven, etc.), continuous integration tools (e.g., Jenkins, Nexus, etc.), configurations tools (e.g., Ansible, Puppet, etc.), monitoring tools (e.g., Zabbix), and modern IT infrastructure (e.g., Docker, OpenStack, etc.) Familiar with architecture in areas such as microservice architecture, auto configuration, version management, dependency management, deployment and release, and monitoring management, and application security. Excellent timemanagement, multitasking, and communication skills. Capable of juggling multiple projects and related complexities at the same time. Demonstrate excellent interpersonal skills, particularly in balancing requirements, managing expectations, collaborating with team members, and driving effective results. Proactive attitude, ability to work independently, and a desire to continuously learn new skills and technology. Excellent written and verbal communication skills in English. Additional or Preferred Qualifications 5+ years work experience with Azure cloud deployments and maintenance. Team lead experience. Experience in Agile/Scrum framework. Experience with managing data visualization workspaces such as Power BI or Tableau. Education Degrees/Field of Study required Degrees/Field of Study preferred Required Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} No

Amazon is looking for a talented, driven Data Analyst It is a pivotal role that will contribute to the evolution and success of one of the fastest growing businesses in the company. Amazon.ins Fulfilment by Amazon (FBA) & Reimbursement team is seeking for a talented, self-driven driven Data Analyst.This pivotal role provides you opportunity to work with an exceptionally innovative team, slice and dice multi-dimensional high depth data mines, build complex data models to provide data driven insights for high impact decisions spanning across Merchant and Customer experience improvement Product/Program initiatives. Working in a dynamic environment, you will be responsible for monitoring key success metrics for sellers, identifying problem areas and business challenges and collaboratively shaping solutions with category and business teams to help sellers grow and optimize on the Amazon platform. The successful candidate has a passion for extracting actionable insights from data. He/she rolls up his/her sleeves, innovates, and quickly becomes a subject matter expert to assess business performance across sellers and market segments. He/she has significant experience working with customers, analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner. He/she enjoys problem solving and is proficient using Excel and other tools to analyze large data sets. Understand Amazon seller Services products and services and track/report business performance and problem areas using appropriate metrics. Work cross functionally with the account management team to fix problems with sellers Use Amazon s tools to problem solve and validate solutions Partner to define goals around key operational metrics Recommend business actions based on analytical findings. Includes defining new metrics, techniques, and strategies to improve seller performance 1+ years of data analytics or automation experience 1+ years of capacity planning, operations planning, business analysis or similar experience Bachelors degree Knowledge of data pipelining and extraction using SQL Knowledge of SQL and Excel at a moderate or advanced level Experience with data mining tools like SQL, SAS, SPSS, or similar Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions

Amazon Emerging Stores SX team owns self-serve process of listings in our stores. We are looking for a hands-on, detail oriented and highly motivated data analyst to help create data backed insights.The candidate should be comfortable interfacing with technology systems and be able to analyze data and gather actionable conclusions. Operating in a rapidly changing environment will require the candidate to be adept at dealing with ambiguous, new and challenging situations. Role and Responsibilities: Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format Put on your business thinking cap to drive insights and action we can take to improve the business Measure the metrics of our business and propose/implement projects to improve these metrics. Ensure KPIs are published and reviewed on a daily, weekly, monthly basis and perform analysis on any behaviours / processes that could impact on data integrity. Job summary Data Analyst/Business Analyst Strong SQL Knowledge and Hands-on experience in excel Own & manage onboard, access & data management process for Premium Seller partners Work closely with Program/Product/Business managers and internal/external stakeholders to understand business requirements and work on solutions with data and insights support Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. Skills Required: Strong SQL Knowledge and Hands-on experience. Highly proficient in Microsoft Office and Windows based applications. Demonstrated Analytical ability, results-oriented environment with external customer interaction. Excellent written and verbal communication and presentation skills and the ability to express thoughts logically and succinctly. Preferred: Minimum 2+ years of experience as an Analyst role preferred Proficiency with visualization tools like Tableau Understanding of data warehousing, data modeling concept and building new DW tables Advanced SQL skills, fluent in R and/or Python, advanced Microsoft Office skills, particularly Excel and analytical platforms 1+ years of data analytics or automation experience 1+ years of capacity planning, operations planning, business analysis or similar experience Bachelors degree Knowledge of data pipelining and extraction using SQL Knowledge of SQL and Excel at a moderate or advanced level Experience with data mining tools like SQL, SAS, SPSS, or similar 2+ years of data analytics or automation experience

We are looking for a dynamic, self-starter Senior BIE for IES Shopping Analytics and Science Team (AST) to guide Amazon Bazaar program in India with analytics and data-driven insights. You will be working in one of the worlds largest and most complex data warehouse environments. You must have a track record of churning out insights and make actionable recommendations to audiences of varying technical aptitude that directly impact organizational strategic decisions and priorities. Being able to thrive in an ambiguous, fast-moving environment and prioritizing work is essential, as is a mind for innovation and learning through rapidly evolving and new technologies. This role provides an opportunity to develop original ideas, approaches, and solutions in a competitive and ever-changing business climate. Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership Share written recommendations and insights for key stakeholders that will help shape organizational strategic decisions and priorities Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems Simplify and automate reporting, audits, and other data-driven activities Partner with other BIEs to enhance data infrastructure, data availability, and broad access to customer insights Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation Learn new technology and techniques to meaningfully support internal stakeholders and process innovation About the team IES Shopping Analytics and Science Team (AST) has a vision to embed a data culture deeply in our IES Shopping Experience organization, fostering invention through insights, and building a robust data architecture to support business needs. We spin the insights flywheel by growing a pool of bar-raisers and diverse data professionals, which empowers us to continuously enhance our data capabilities, holistically covering disciplines of Data Engineering, Business Intelligence, Analytics, and Machine Learning. 10+ years of professional or military experience 8+ years of SQL experience Experience programming to extract, transform and clean large (multi-TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of information retrieval, data science, machine learning and data mining Experience working directly with business stakeholders to translate between data and business needs Experience managing, analyzing and communicating results to senior leadership Experience working as a BIE in a technology company Experience with AWS technologies Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.

Job Description As a Lead Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fie

Job Description: Plant Cost Controller Department: Management Control Location: Vashi ,Navi Mumbai Qualification: ICWA / CMA Years of Experience: Minimum 2-5 years Key Duties and Responsibilities: 1. Budget Development: Collaborate with operational management in budget development. Prepare and file budget templates, ensuring consistency and accuracy. Challenge data and consolidate financial information. 2.Results Management: Prepare provisional results and load them into the controlling tool. Conduct result and variance analyses against budget and previous year. Support the accounting department during closing, presenting and explaining results. Propose and implement action plans, conduct ad hoc analyses, and assist in cash management. Drive, animate, and monitor performance indicators. 3.Forecasting: Assist operational management in developing and building forecasts. Challenge forecast data for accuracy and reliability. 4.Cross-Departmental Collaboration: Work effectively with other departments. Share knowledge and information. Assist operational managers in utilizing financial tools and decision-making. Technical Skills: 1.Industrial Efficiency: Collaborate closely with Plant Manager and corporate team to monitor and analyze industrial equipment efficiency and KPIs. Apply strategies to improve overall plant efficiency. 2.Management Analysis: Perform comprehensive financial analyses with accuracy, consistency, and integrity. Utilize financial and accounting data to conduct analyses by profit center. 3.Controlling/Financial Business Modeling: Provide support to business functions in cost management and decision-making. Contribute to the performance of the plan through financial modeling. 4.Financial Data Mining and Reporting: Process and interpret data to produce effective reports. Understand the impact of erroneous data on company systems and statistics. Desired Profile: Good knowledge of costing, variance analysis, budget preparation, and process improvement. Preferably from Dairy Manufacturing, though not mandatory. Knowledge and proficiency in SAP and Excel are mandatory. Strong leadership and communication skills in English. Ability to work with multiple stakeholders and ensure adherence to deadlines.

Are you passionate about applying machine learning and statistical modeling to revolutionize financial systems that handle billions of dollars in transactions Our team faces a unique challenge: developing intelligent systems to process, analyze, and derive insights from massive financial datasets generated across Amazons global operations. This includes millions of customer transactions, vendor payments, inventory movements, commission calculations, and tax collections across hundreds of jurisdictions worldwide. As an Applied Scientist, you will: Design and implement novel machine learning solutions for complex financial problems Work with large-scale distributed systems and real-time data processing Develop automated decision-making systems for financial workflows Create scalable algorithms that balance accuracy, latency, and computational efficiency Collaborate with software engineers to productionize ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific programming (Python, R, or similar) communication skills to collaborate with cross-functional teams Passion for mentoring and technical leadership Youll join a team that values innovation and scientific rigor, working alongside world-class engineers and scientists. Youll have the opportunity to influence the architecture of next-generation financial systems while solving novel problems in machine learning and automated decision-making. The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific programming (Python, R, or similar) Communication skills to collaborate with cross-functional teams Passion for mentoring and technical leadership About the team The Disputes management team manages systems handling vendor billing disputes across Amazons global operations. These disputes arise from invoice matching discrepancies, resulting in short payments due to quantity and price variances, as well as receivables from vendor returns and other deductions. The Dispute Management System enables dispute creation through multiple channels (Vendor Central, FinOps Central), provides automated research and recommendations, and facilitates communication between vendors and FinOps analysts. Our platform streamlines the entire dispute lifecycle, from initial filing through final resolution, ensuring accurate handling of financial claims while maintaining strong vendor relationships. Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing B.tech/M.tech/Phd Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms Experience in professional software development

We are seeking an innovative and highly skilled professional to join our team as a Mobility Core Network and Network Services Architect. This role involves the design and development of advanced network functions and applications for IP multimedia systems and packet data. The ideal candidate will work on a range of projects involving new products and technologies, system and platform architecture, hardware and software development engineering, technical security, and quality assurance design and certification. Key Responsibilities: Design and architect advanced Mobility Core network functions and Network Services applications for IP multimedia systems and packet data. Develop new products and technologies, focusing on system and platform architecture, hardware and software engineering, technical security, and QA design and certification. Conduct comprehensive analysis in data mining, data visualization, network design and optimization, market and financial analysis, operations research, and decision support systems. Collaborate with client project teams to deliver Mobility Cloud platforms, CI/CD workflow automation, Big Data solutions, and Azure DevOps (ADO) integration. Develop and implement cloud computing and data analytics solutions using Microsoft Azure. Code and develop software using Python, R, JavaScript, SQL, Unix shell, Ansible, and Java. Manipulate and analyze data using libraries such as Pandas and NumPy. Utilize tools and technologies including Git, Docker, Kubernetes, YAML, and JSON. Translate core architecture requirements into technical solutions, ensuring functionality, performance, and reliability through engineering models and software development across the vertical stack. Design, develop, document, and analyze technology systems, ensuring the maximum reuse of target state platforms such as APIs, data fabric, and data routers. Engineer integrated hardware and software solutions that meet performance, usability, scalability, reliability, and security requirements. Coordinate the design, specification, and integration of total systems and subsystems. Assess and recommend algorithms and products to enhance current systems through proof of concept evaluations. This is a hands-on role that requires a combination of technical expertise, strategic thinking, and collaborative skills to deliver high-quality applications and services. The successful candidate will be responsible for driving the development of robust and scalable network solutions that meet business and technical requirements. Job ID R-71840 Date posted 06/18/2025

As an Appication Deveoper, you wi ead IBM into the future by transating system requirements into the design and deveopment of customized systems in an agie environment. The success of IBM is in your hands as you transform vita business needs into code and drive innovation. Your work wi power IBM and its cients gobay, coaborating and integrating code into enterprise systems. You wi have access to the atest education, toos and technoogy, and a imitess career path with the word’s technoogy eader. Come to IBM and make a goba impact! The abiity to be a team payer The abiity and ski to train other peope in procedura and technica topics Strong communication and coaboration skis Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Strong knowedge and experience in database design, modeing and deveopment using PL SQL. Minimum of 6 years. Proficiency with Orace databases and toos, such as SQL Deveoper and Toad In-depth understanding of SQL tuning and optimization techniques Knowedge of database performance monitoring and troubeshooting Famiiarity with ETL processes and data integration techniques and Strong anaytica and probem-soving skis Preferred technica and professiona experience Abiity to work in a fast-paced environment and meet deadines Knowedge of agie software deveopment practices is a pus Bacheor's degree in computer science or a reated fied is preferred, but not required

Provide expertise in anaysis, requirements gathering, design, coordination, customization, testing and support of reports, in cient’s environment Deveop and maintain a strong working reationship with business and technica members of the team Reentess focus on quaity and continuous improvement Perform root cause anaysis of reports issues Deveopment / evoutionary maintenance of the environment, performance, capabiity and avaiabiity. Assisting in defining technica requirements and deveoping soutions Effective content and source-code management, troubeshooting and debugging. Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Tabeau Desktop Speciaist, SQL -Strong understanding of SQL for Querying database Good to have - Python ; Snowfake, Statistics, ETL experience. Extensive knowedge on using creating impactfu visuaization using Tabeau. Must have thorough understanding of SQL & advance SQL (Joining & Reationships). Must have experience in working with different databases and how to bend & create reationships in Tabeau. Must have extensive knowedge to creating Custom SQL to pu desired data from databases. Troubeshooting capabiities to debug Data contros. Preferred technica and professiona experience Troubeshooting capabiities to debug Data contros Capabe of converting business requirements into workabe mode. Good communication skis, wiingness to earn new technoogies, Team Payer, Sef-Motivated, Positive Attitude. Must have thorough understanding of SQL & advance SQL (Joining & Reationships).

As an Appication Deveoper, you wi ead IBM into the future by transating system requirements into the design and deveopment of customized systems in an agie environment. The success of IBM is in your hands as you transform vita business needs into code and drive innovation. Your work wi power IBM and its cients gobay, coaborating and integrating code into enterprise systems. You wi have access to the atest education, toos and technoogy, and a imitess career path with the word’s technoogy eader. Come to IBM and make a goba impact Responsibiities: Responsibe to manage end to end feature deveopment and resove chaenges faced in impementing the same Learn new technoogies and impement the same in feature deveopment within the time frame provided Manage debugging, finding root cause anaysis and fixing the issues reported on Content Management back end software system fixing the issues reported on Content Management back end software system Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Tabeau Desktop & Server SQL, Orace & Hive, Communication Skis, Project Management Mutitasking, Coaborative Skis Proven experience in deveoping and working Tabeau driven dashboards, anaytics. Abiity to query and dispay arge data sets whie maximizing the performance of workbook. Abiity to interpret technica or dashboard structure and transate compex business requirements to technica Preferred technica and professiona experience Tabeau Desktop & Server SQL ,Orace & Hive

As an Associate Software Deveoper at IBM you wi harness the power of data to unvei captivating stories and intricate patterns. You' contribute to data gathering, storage, and both batch and rea-time processing. Coaborating cosey with diverse teams, you' pay an important roe in deciding the most suitabe data management systems and identifying the crucia data required for insightfu anaysis. As a Data Engineer, you' tacke obstaces reated to database integration and untange compex, unstructured data sets. In this roe, your responsibiities may incude: Impementing and vaidating predictive modes as we as creating and maintain statistica modes with a focus on big data, incorporating a variety of statistica and machine earning techniques Designing and impementing various enterprise search appications such as Easticsearch and Spunk for cient requirements Work in an Agie, coaborative environment, partnering with other scientists, engineers, consutants and database administrators of a backgrounds and discipines to bring anaytica rigor and statistica methods to the chaenges of predicting behaviour’s. Buid teams or writing programs to ceanse and integrate data in an efficient and reusabe manner, deveoping predictive or prescriptive modes, and evauating modeing resuts Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise 3 Years + of reevant exp. Strong proficiency in Tabeau Desktop and Tabeau Server.. Experience with SQL and data manipuation. Strong experience in data manipuation and SQL Queries Leads the team to adopt right toos for various migration and modernization method Preferred technica and professiona experience You thrive on teamwork and have exceent verba and written communication skis. Abiity to communicate with interna and externa cients to understand and define business needs, providing anaytica soutions Abiity to communicate resuts to technica and non-technica audiences

Key Responsibilities: Analyze complex and large-scale datasets to uncover hidden patterns, correlations, and actionable insights that drive business growth. Develop analytical models, dashboards, and performance reports to support strategic planning and operational efficiency across functions. Continuously monitor key business metrics and KPIs; design automated alert systems to flag significant deviations or trends in real time. Collaborate closely with Product, Marketing, Operations, and Finance teams to understand business needs and deliver impactful analytical solutions. Conduct deep-dive analyses into customer behavior, product performance, or operational bottlenecks, and present data-backed insights with clear recommendations to senior leadership. Identify inconsistencies, outliers, and gaps in data; work on improving data quality and propose scalable solutions for better data governance. Support business with ad-hoc analytics, providing quick, reliable insights for time- sensitive decisions. Demonstrate a strong analytical mindset with a passion for continuous learning, adaptability, and the ability to lead data-driven initiatives proactively. Required Qualifications: Bachelors degree in a quantitative discipline: Mathematics, Statistics, Economics, Engineering, or Computer Science. 5–7 years of experience in a Business Analyst / Data Analyst role in fintech or a high- growth tech company. Strong proficiency in SQL for data querying and analysis. Experience with data visualization tools like Tableau, Power BI, or similar. Hands-on with Excel and BI reporting platforms. Strong analytical and critical thinking skills, with a high attention to detail. Ability to manage multiple projects and meet tight deadlines. Excellent verbal and written communication skills — capable of storytelling with data. Preferred Qualifications: Experience with Python for advanced data analysis. Exposure to cloud data platforms like AWS Athena, S3 and EC2. Understanding of digital payment ecosystems or lending/UPI domains.

As an Appication Deveoper, you wi ead IBM into the future by transating system requirements into the design and deveopment of customized systems in an agie environment. The success of IBM is in your hands as you transform vita business needs into code and drive innovation. Your work wi power IBM and its cients gobay, coaborating and integrating code into enterprise systems. You wi have access to the atest education, toos and technoogy, and a imitess career path with the word’s technoogy eader. Come to IBM and make a goba impact! The abiity to be a team payer The abiity and ski to train other peope in procedura and technica topics Strong communication and coaboration skis Required education Bacheor's Degree Preferred education Master's Degree Required technica and professiona expertise Strong knowedge and experience in database design, modeing and deveopment using PL SQL. Minimum of 6 years. Proficiency with Orace databases and toos, such as SQL Deveoper and Toad In-depth understanding of SQL tuning and optimization techniques Knowedge of database performance monitoring and troubeshooting Famiiarity with ETL processes and data integration techniques and Strong anaytica and probem-soving skis Preferred technica and professiona experience Abiity to work in a fast-paced environment and meet deadines Knowedge of agie software deveopment practices is a pus Bacheor's degree in computer science or a reated fied is preferred, but not required

Teradata is seeking a highly skilled and client-focused Data Scientist to join our dynamic ASIA PS Consulting team based out of India In this role, you will be instrumental in delivering impactful analytical solutions to our diverse customer base, leveraging Teradata's industry-leading data platform and advanced analytics capabilities With a strong emphasis on Voice Analytics for the next year, you will work closely with clients to understand their business challenges and translate them into actionable data-driven insights You will also play a crucial role in the sales cycle, providing technical expertise and support to our Consulting Sales Executives by conducting presentations, engaging in architecture discussions, and accurately scoping project requirements This position offers a unique blend of technical mastery, client interaction, and business impact, making it an ideal opportunity for a data scientist who thrives in a fast-paced, customer-centric environment within a leading data and analytics company, What You Will Do Client-Centric Solution Delivery: Design, develop, and deploy customized analytical solutions to address specific client business needs leveraging Teradata Vantage and related technologies, Conduct thorough data exploration, feature engineering, and model development using machine learning and statistical techniques within the Teradata ecosystem, Implement and optimize machine learning models in production environments on Teradata platforms, ensuring scalability and performance, Generate clear, concise, and actionable reports and presentations to communicate findings and recommendations to clients, Provide ongoing technical support and guidance to clients, ensuring successful solution adoption and utilization, with a focus on Teradata specific tools and processes, Voice Analytics Expertise: Posses deep expertise in Voice Analytics, staying current with the latest advancements in NLP, speech recognition, and related technologies, and how they can integrate with Teradata, Utilize techniques such as sentiment analysis, topic modeling to extract valuable insights from voice data, optimized for Teradata's parallel processing capabilities, Build and fine-tune custom voice analytics models tailored to specific client requirements, leveraging Teradata's in-database analytics, Pre-Sales and Sales Support: Collaborate with Teradata sales executives to understand client needs and develop tailored solution proposals, Deliver compelling technical presentations and demonstrations showcasing the capabilities of Teradata Vantage, Engage in detailed architectural discussions with potential clients, providing expert guidance on solution design and integration with Teradata platforms, Accurately scope project requirements, estimate effort, and contribute to the development of Statements of Work (SOWs), Address technical questions from clients and prospects regarding Teradata's capabilities, Teradata Platform Expertise: Utilize Teradata Vantage and related tools for data warehousing, data processing, and machine learning, Optimize data pipelines and queries for performance on Teradata platforms, Leverage Teradata's in-database analytics capabilities to build and deploy machine learning models, Understand and apply best practices for data management and security within the Teradata environment, Advanced AI/ML and Vector Store: Generate Vector Embeddings and manage Vector Stores for efficient storage and retrieval of high-dimensional embeddings representing text, audio, and other data types for semantic search and similarity analysis, Develop and deploy Retrieval-Augmented Generation (RAG) based architectures to enhance the accuracy and contextuality of AI-powered applications, Data Science Best Practices: Apply statistical modeling, machine learning, and data mining techniques to solve complex business problems, Develop and maintain data science workflows and documentation, Stay up-to-date on the latest advancements in data science, machine learning, and related technologies, Collaboration and Communication: Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, Effectively communicate complex technical concepts to both technical and non-technical audiences, Build and maintain strong relationships with clients, fostering trust and ensuring customer satisfaction, Who Youll Work With Work in close coordination with Pre-Sales Data Science teams to serve global customers, Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, What Makes You a Qualified Candidate Bachelors, Masters or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 8 years of related work and/or research experience in quantitative roles In-depth knowledge in at least 1 of the following data science domains other than Signal Processing, Image, Video, Voice Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What Youll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver, Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think Youll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work We focus on well-being because we care about our people and their ability to thrive both personally and professionally We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are, Teradata invites all identities and backgrounds in the workplace We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization ? We are proud to be an equal opportunity and affirmative action employer We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status,

Teradata is seeking a highly skilled and client-focused Data Scientist to join our dynamic ASIA PS Consulting team based out of India In this role, you will be instrumental in delivering impactful analytical solutions to our diverse customer base, leveraging Teradata's industry-leading data platform and advanced analytics capabilities With a strong emphasis on Voice Analytics for the next year, you will work closely with clients to understand their business challenges and translate them into actionable data-driven insights You will also play a crucial role in the sales cycle, providing technical expertise and support to our Consulting Sales Executives by conducting presentations, engaging in architecture discussions, and accurately scoping project requirements This position offers a unique blend of technical mastery, client interaction, and business impact, making it an ideal opportunity for a data scientist who thrives in a fast-paced, customer-centric environment within a leading data and analytics company, What You Will Do Client-Centric Solution Delivery: Design, develop, and deploy customized analytical solutions to address specific client business needs leveraging Teradata Vantage and related technologies, Conduct thorough data exploration, feature engineering, and model development using machine learning and statistical techniques within the Teradata ecosystem, Implement and optimize machine learning models in production environments on Teradata platforms, ensuring scalability and performance, Generate clear, concise, and actionable reports and presentations to communicate findings and recommendations to clients, Provide ongoing technical support and guidance to clients, ensuring successful solution adoption and utilization, with a focus on Teradata specific tools and processes, Voice Analytics Expertise: Posses deep expertise in Voice Analytics, staying current with the latest advancements in NLP, speech recognition, and related technologies, and how they can integrate with Teradata, Utilize techniques such as sentiment analysis, topic modeling to extract valuable insights from voice data, optimized for Teradata's parallel processing capabilities, Build and fine-tune custom voice analytics models tailored to specific client requirements, leveraging Teradata's in-database analytics, Pre-Sales and Sales Support: Collaborate with Teradata sales executives to understand client needs and develop tailored solution proposals, Deliver compelling technical presentations and demonstrations showcasing the capabilities of Teradata Vantage, Engage in detailed architectural discussions with potential clients, providing expert guidance on solution design and integration with Teradata platforms, Accurately scope project requirements, estimate effort, and contribute to the development of Statements of Work (SOWs), Address technical questions from clients and prospects regarding Teradata's capabilities, Teradata Platform Expertise: Utilize Teradata Vantage and related tools for data warehousing, data processing, and machine learning, Optimize data pipelines and queries for performance on Teradata platforms, Leverage Teradata's in-database analytics capabilities to build and deploy machine learning models, Understand and apply best practices for data management and security within the Teradata environment, Advanced AI/ML and Vector Store: Generate Vector Embeddings and manage Vector Stores for efficient storage and retrieval of high-dimensional embeddings representing text, audio, and other data types for semantic search and similarity analysis, Develop and deploy Retrieval-Augmented Generation (RAG) based architectures to enhance the accuracy and contextuality of AI-powered applications, Data Science Best Practices: Apply statistical modeling, machine learning, and data mining techniques to solve complex business problems, Develop and maintain data science workflows and documentation, Stay up-to-date on the latest advancements in data science, machine learning, and related technologies, Collaboration and Communication: Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, Effectively communicate complex technical concepts to both technical and non-technical audiences, Build and maintain strong relationships with clients, fostering trust and ensuring customer satisfaction, Who Youll Work With Work in close coordination with Pre-Sales Data Science teams to serve global customers, Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, What Makes You a Qualified Candidate Bachelors, Masters or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 8 years of related work and/or research experience in quantitative roles In-depth knowledge in at least 1 of the following data science domains other than Signal Processing, Image, Video, Voice Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What Youll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver, Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think Youll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work We focus on well-being because we care about our people and their ability to thrive both personally and professionally We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are, Teradata invites all identities and backgrounds in the workplace We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization ? We are proud to be an equal opportunity and affirmative action employer We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status,

Teradata is seeking a highly skilled and client-focused Data Scientist to join our dynamic ASIA PS Consulting team based out of India In this role, you will be instrumental in delivering impactful analytical solutions to our diverse customer base, leveraging Teradata's industry-leading data platform and advanced analytics capabilities With a strong emphasis on Voice Analytics for the next year, you will work closely with clients to understand their business challenges and translate them into actionable data-driven insights You will also play a crucial role in the sales cycle, providing technical expertise and support to our Consulting Sales Executives by conducting presentations, engaging in architecture discussions, and accurately scoping project requirements This position offers a unique blend of technical mastery, client interaction, and business impact, making it an ideal opportunity for a data scientist who thrives in a fast-paced, customer-centric environment within a leading data and analytics company, What You Will Do Client-Centric Solution Delivery: Design, develop, and deploy customized analytical solutions to address specific client business needs leveraging Teradata Vantage and related technologies, Conduct thorough data exploration, feature engineering, and model development using machine learning and statistical techniques within the Teradata ecosystem, Implement and optimize machine learning models in production environments on Teradata platforms, ensuring scalability and performance, Generate clear, concise, and actionable reports and presentations to communicate findings and recommendations to clients, Provide ongoing technical support and guidance to clients, ensuring successful solution adoption and utilization, with a focus on Teradata specific tools and processes, Voice Analytics Expertise: Posses deep expertise in Voice Analytics, staying current with the latest advancements in NLP, speech recognition, and related technologies, and how they can integrate with Teradata, Utilize techniques such as sentiment analysis, topic modeling to extract valuable insights from voice data, optimized for Teradata's parallel processing capabilities, Build and fine-tune custom voice analytics models tailored to specific client requirements, leveraging Teradata's in-database analytics, Pre-Sales and Sales Support: Collaborate with Teradata sales executives to understand client needs and develop tailored solution proposals, Deliver compelling technical presentations and demonstrations showcasing the capabilities of Teradata Vantage, Engage in detailed architectural discussions with potential clients, providing expert guidance on solution design and integration with Teradata platforms, Accurately scope project requirements, estimate effort, and contribute to the development of Statements of Work (SOWs), Address technical questions from clients and prospects regarding Teradata's capabilities, Teradata Platform Expertise: Utilize Teradata Vantage and related tools for data warehousing, data processing, and machine learning, Optimize data pipelines and queries for performance on Teradata platforms, Leverage Teradata's in-database analytics capabilities to build and deploy machine learning models, Understand and apply best practices for data management and security within the Teradata environment, Advanced AI/ML and Vector Store: Generate Vector Embeddings and manage Vector Stores for efficient storage and retrieval of high-dimensional embeddings representing text, audio, and other data types for semantic search and similarity analysis, Develop and deploy Retrieval-Augmented Generation (RAG) based architectures to enhance the accuracy and contextuality of AI-powered applications, Data Science Best Practices: Apply statistical modeling, machine learning, and data mining techniques to solve complex business problems, Develop and maintain data science workflows and documentation, Stay up-to-date on the latest advancements in data science, machine learning, and related technologies, Collaboration and Communication: Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, Effectively communicate complex technical concepts to both technical and non-technical audiences, Build and maintain strong relationships with clients, fostering trust and ensuring customer satisfaction, Who Youll Work With Work in close coordination with Pre-Sales Data Science teams to serve global customers, Work closely with cross-functional teams, including product, engineering, and sales, to ensure seamless solution delivery, What Makes You a Qualified Candidate Bachelors, Masters or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 8 years of related work and/or research experience in quantitative roles In-depth knowledge in at least 1 of the following data science domains other than Signal Processing, Image, Video, Voice Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What Youll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver, Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think Youll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work We focus on well-being because we care about our people and their ability to thrive both personally and professionally We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are, Teradata invites all identities and backgrounds in the workplace We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization ? We are proud to be an equal opportunity and affirmative action employer We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status,

We are looking for a skilled and passionate MSTR Architect to join our team As a MSTR Architect , you will be responsible for designing, developing, and overseeing the implementation of business intelligence solutions using Microstrategy Platform in Allianz This includes ensuring smooth operation, evaluating new technologies, and continuously improving performance, reliability, and automation You will also responsible for resolve incidents, and implement change requests for both team members and customers, You will Design, implement, and manage scalable, reliable, and secure MicroStrategy infrastructure both on prem and on Cloud Design the overall MicroStrategy Architecture including project schemas, Metadata objects and system configuration Manage end-to-end administration of MicroStrategy environments across Cloud ( Azure) and On-Premise setups, Perform installation, configuration, upgrades, and patching of MicroStrategy components (Intelligence Server, Web, Mobile, etc ), Optimize platform performance through tuning, load balancing, and resource allocation, Design scalable, fault-tolerant MicroStrategy architectures aligned with business needs, Define best practices for metadata management, report/dashboard optimization, and environment governance, Implement security protocols, user/role management, and audit compliance, Establish best practices for schema and report requirements , Develop and implement MicroStrategy projects, including dashboards, reports, and data visualizations, Create reusable objects like metrics ,filters, prompts and Templates Optimize report performance and data retrieval process Expertise in Star/Snowflake schema integration and data mining Evaluate new bi tools and integration possibilities with MicroStrategy Manage version control, patching and upgrades Need to act as liaison between business stake holders and technical team Provide guidance to users for any customer queries related to development Monitor and troubleshoot system performances and recommend improvement Conduct load testing and capacity planning Work experience on creating dossiers/dashboards as per requirements Work experience on creation of public objects/schema objects Work experience on creating freeform SQL reports /Ad hoc reports as per business requirement , Work experience on dossiers with several filter types, such as page-level, chapter-level, and visualization filters, Work experience on dossiers with numerous chapters, corresponding filters, rich formatting, and designing, Maintaining the MSTR to perform Business Analytics User, Group, project administration Installation and configuration of New version of MSTR and working experience on Hotfix installation and widgets Hands on experience and knowledge on Database activities Working experience configuring web & Tomcat and widget installations on web Working experience on License renewals Monitoring the Linux Server activities Platform maintenance activities Documentations, Tasks, preparing reports Troubleshooting the issues/requests raised in the form of tickets by the customers Develop and maintain CI/CD pipelines for application deployment and automation, Your Skills Bachelor's degree, Minimum of 5 years of experience in a MicroStrategy Architect role, Technical Expertise: 8+ years as a MicroStrategy Architect with deep expertise in MicroStrategy 10 x/11 x administration, Proven experience in migrating MicroStrategy platforms (On-Premise ? Cloud), Proficiency in Cloud platforms (AWS, Azure, GCP) and hybrid architectures, Strong knowledge of MicroStrategy Command Manager, Object Manager, and Enterprise Manager, Scripting skills (Python, Shell) for automation and API integrations, Platform & Tools: Experience with monitoring tools (AppDynamics, CloudWatch) and log analysis, Familiarity with database systems (SQL Server, Oracle, Snowflake) and ETL processes, Knowledge of security frameworks (LDAP, SSO, encryption), Soft Skills: Excellent problem-solving skills for complex technical challenges, Strong communication to translate technical details for non-technical stakeholders, Certifications (Preferred): MicroStrategy Certified Architect/Administrator, Azure Cloud certifications, Your benefits: We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl up to 25 days per year working from abroad We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location) From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach About Allianz Technology Allianz Technology is the global IT service provider for Allianz and delivers IT solutions that drive the digitalization of the Group With more than 13,000 employees located in 22 countries around the globe, Allianz Technology works together with other Allianz entities in pioneering the digitalization of the financial services industry, We oversee the full digitalization spectrum from one of the industrys largest IT infrastructure projects that includes data centers, networking and security, to application platforms that span from workplace services to digital interaction In short, we deliver full-scale, end-to-end IT solutions for Allianz in the digital age, D&I statement Allianz Technology is proud to be an equal opportunity employer encouraging diversity in the working environment We are interested in your strengths and experience We welcome all applications from all people regardless of gender identity and/or expression, sexual orientation, race or ethnicity, age, nationality, religion, disability, or philosophy of life, Join us Let?s care for tomorrow, You IT Allianz Group is one of the most trusted insurance and asset management companies in the world Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us, We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in, We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation, Join us Let's care for tomorrow,