4497 Data Science Jobs - Page 8

The Specialized Analytics Sr. Manager accomplishes results through the management of professional team(s) and department(s). You integrate subject matter and industry expertise within a defined area, contributing to standards around which others will operate. You require an in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Basic commercial awareness is necessary for this role. You must possess developed communication and diplomacy skills to guide, influence, and convince others, particularly colleagues in other areas and occasional external customers. You hold responsibility for the volume, quality, timeliness, and delivery of end results of an area. You may also be responsible for planning, budgeting, and policy formulation within your area of expertise. You are involved in short-term resource planning and have full management responsibility for a team, which may include management of people, budget and planning, performance evaluations, compensation, hiring, disciplinary actions, terminations, and budget approval. Responsibilities include working with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies. You identify and compile data sets using various tools (e.g. SQL, Access, Python) to predict, improve, and measure the success of key business outcomes. You are responsible for documenting data requirements, data collection/processing/cleaning, and exploratory data analysis, which may involve utilizing statistical models/algorithms and data visualization techniques. Incumbents in this role may often be referred to as Data Scientists with a good understanding and implementation of AI ML algorithms. Specialization in marketing, risk, digital, and AML fields is possible. You must appropriately assess risk when making business decisions, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets by ensuring compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment, and effectively supervising the activity of others. Qualifications required for this role include 12-14 years of experience, financial/business analysis and/or credit/risk analysis capabilities with the ability to impact key business drivers through a disciplined analytic process, providing analytic thought leadership, effective project planning management, in-depth understanding of various financial service business models, expert knowledge of advanced statistical techniques, and creative problem-solving skills. Education: A Bachelor's/University degree is required, with a Master's degree preferred. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.,

About the Company: Relay Human Cloud is a young and dynamic company that assists some of the top US-based companies in expanding their teams internationally. Relay operates globally with offices in the US, India, Honduras, and Mexico, with plans to expand to more countries in the near future. The primary focus of Relay is to facilitate the connection between companies and top international talent across various sectors. Relay specializes in providing support to clients in areas such as Accounting & Finance, Administration, Operations, Space Planning, Leasing, Data Science, Data Search, Machine Learning, and Artificial Intelligence. In India, Relay operates from offices located in Ahmedabad and Vadodara. Key Responsibilities: Estimating Duties: - Download bid invitations, plans, and specifications from BuildingConnected and other GC portals. - Establish and maintain a structured job folder system on the shared drive following company standards (01 BID, 02 Specs, 03 Addenda, etc.). - Set up projects in Accubid Anywhere and LiveCount. - Conduct detailed takeoffs for various systems including lighting systems, lighting controls, wiring devices, branch circuitry, fire alarm, nurse call, telecom/data, and grounding. - Perform LiveCount audits and resolve any discrepancies before project hand-off. - Interpret electrical, architectural, mechanical, plumbing, and life-safety drawings to identify routing, clearances, and coordination requirements. - Identify specification-driven needs such as conduit types, conductor materials, breaker AIC ratings, and cost drivers for estimators. Qualifications: - Minimum of 3 years of experience in electrical estimating or project support (consideration given to internships and entry-level roles). - Bachelor's degree in construction management, Engineering, or related field is preferred but not mandatory. - Strong organizational and communication skills. - Experience with Accubid Anywhere, Bluebeam, Procore, or similar platforms is advantageous.,

The position of Visualization & Interactions Science Consultant at S&C Global Network - AI - CG&S requires a skilled individual with a background in data visualization, human-computer interaction, and user experience design. As part of the team, you will be responsible for collaborating with CG&S clients and stakeholders to understand business requirements and translate them into impactful visualization and interaction design solutions. Your role will also involve providing consultation on visualization and interaction design principles, running codesign sessions, developing interactive data visualizations and dashboards, and conducting user research and usability testing to enhance the usability and effectiveness of visualization products. In this role, you will be expected to apply principles of data storytelling and narrative visualization to create compelling and informative data-driven stories. You will also be required to stay updated on emerging trends and best practices in data visualization, human-computer interaction, and user experience design, and share your insights with the team. Collaboration with data scientists, analysts, and engineers to integrate visualizations into data-driven applications and products is also a key aspect of the position. To excel in this role, you should possess relevant experience in the required domain, strong analytical and problem-solving skills, as well as effective communication skills. The ability to thrive in a fast-paced, dynamic environment is essential for success in this position. This opportunity offers the chance to work on innovative projects and provides avenues for career growth and leadership exposure. If you are passionate about leveraging data-driven insights to create impactful visualizations and interactive experiences for businesses, this role presents an exciting opportunity to contribute to strategic initiatives and business transformations with your expertise in visualization and interaction design.,

As an Associate Managing Consultant in Business Experimentation at Mastercard's Advisors & Consulting Services group, you will be part of a team that specializes in advising executives on business decisions using the industry-leading predictive analytics SaaS platform, Test & Learn. Your role will involve collaborating with customers to identify key priorities and designing and executing business experiments to determine the effectiveness of various ideas and their deployment strategies. Your responsibilities will include managing deliverable development and workstreams on projects spanning different industries and problem statements. You will contribute to the development of strategies and programs for regional and global clients by utilizing data science tools such as Test & Learn. Building and maintaining a strong working relationship with client managers will be crucial, as you act as a trusted partner and provide analytical and technical expertise to drive client success through Test & Learn adoption. In addition to client impact, you will play a key role in fostering team collaboration and a positive work culture. This involves developing sound business recommendations, delivering impactful client presentations, and organizing and structuring work for both yourself and junior project delivery consultants. Leading team and external meetings, managing project management tasks, and contributing to the firm's intellectual capital will also be part of your responsibilities. You will gradually transition from coaching to taking ownership of day-to-day project management across client projects and mentoring junior consultants. To excel in this role, you should hold an undergraduate degree with analytical experience in consulting, analytics, or data science. Strong analytical, interpretive, and problem-solving skills are essential, along with proficiency in analyzing large datasets and deriving key insights. Logical thinking, numerical analysis capabilities, and proficiency in Word, Excel, and PowerPoint are required. Effective communication skills in English and the local office language, if applicable, are necessary. You should also be eligible to work in the country where you are applying and be open to travel as required. Preferred qualifications include additional experience in data modeling, database management, data visualization tools, or time series analysis. Experience in managing tasks within collaborative teams, coaching junior consultants, and possessing industry expertise are advantageous. While an MBA or master's degree is not mandatory, it can be beneficial for this role. Given the nature of the work involving access to Mastercard assets, information, and networks, you are expected to abide by security policies, maintain confidentiality and integrity of information, report any security breaches, and undergo periodic security training as per Mastercard's guidelines.,

As a Talent Acquisition Executive/Lead at Saarthee, you will play a pivotal role in driving talent acquisition strategies to support the company's growth objectives. Your primary responsibility will be to collaborate with the HR department, business leaders, and hiring managers to identify, attract, and hire top talent in the data analytics industry and related fields. If you are passionate about building high-performing teams and have a proven track record in sourcing, hiring, and retaining top talent, this exciting opportunity is for you. Your key responsibilities will include leading the end-to-end recruitment process for technical roles in Data Engineering, Data Science, and Data Analytics. This will involve assessing candidates" proficiency in programming languages such as Python, Java, and Scala, data pipelines like ETL and Kafka, cloud platforms including AWS, Azure, and GCP, as well as big data technologies like Hadoop and Spark. You will design and implement technical assessment processes to ensure candidates meet the high technical standards required for projects and collaborate with stakeholders to understand specific technical requirements for each role. Furthermore, you will be responsible for building and maintaining a robust pipeline of highly qualified candidates using various sourcing techniques and staying updated with industry trends in Data Engineering, Data Science, and Analytics. Your role will also involve implementing strategies to ensure diverse and inclusive hiring practices, focusing on underrepresented groups in technology, and working on talent development and retention initiatives within the company. To be successful in this role, you should have at least 4 years of experience in Talent Acquisition, with a strong background in recruiting for Data Engineering, Data Science, and Technology roles. You should possess technical knowledge in AI/ML, programming languages like Python, R, and Java, big data technologies such as Hadoop and Spark, cloud platforms like AWS, Azure, and GCP, and analytics tools like Tableau and Power BI. Leadership skills, analytical thinking, excellent communication, and a commitment to excellence are essential qualities required for this position. In addition to technical skills, soft skills such as problem-solving, collaboration, adaptability, attention to detail, continuous learning, and excellent verbal and writing skills are also crucial for success in this role. If you are ready to take on the challenge of shaping the talent acquisition strategy for a dynamic and innovative company like Saarthee, we encourage you to apply for this role and be a part of our journey towards success.,

The Specialized Analytics Manager provides full leadership and supervisory responsibility. You will provide operational/service leadership and direction to team(s). You will apply in-depth disciplinary knowledge through provision of value-added perspectives or advisory services. You may contribute to the development of new techniques, models, and plans within the area of expertise. Excellent communication and diplomacy skills are required for this role. You will generally have responsibility for volume, quality, timeliness of end results, and shared responsibility for planning and budgets. Your work will affect an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. You will have full supervisory responsibility, ensuring motivation and development of the team through professional leadership. This will include duties such as performance evaluation, compensation, hiring, disciplinary and terminations, as well as direction of daily tasks and responsibilities. The Data Science Analyst is a developing professional role within the GWFO team. In this role, you will apply specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. You will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. You will work with cross-functional stakeholders to gather and process operational data from various sources to examine past business performance and identify areas for improvement. As a successful candidate, you should ideally have 7+ years of relevant experience in data science, machine learning, or a related field. You should possess advanced process management skills, be organized and detail-oriented, curious about learning and developing new skill sets, particularly in the area of artificial intelligence, have a positive outlook with a can-do mindset, and strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers. Experience with statistical modeling techniques, building GenAI solutions, agentic AI frameworks, and data visualization tools such as Tableau or Power BI is required. Strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills are also essential. You should have a Bachelors/University degree or equivalent experience. This job description provides a high-level review of the types of work performed, and other job-related duties may be assigned as required. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster.,

You have a solid working experience in Python-based Django and Flask frameworks, along with expertise in developing microservices based design and architecture. Your strong programming knowledge extends to Javascript, HTML5, Python, Restful API, and gRPC API. You have hands-on experience with object-oriented concepts in Python and are familiar with libraries like Numpy, Pandas, Ppen3D, OpenCV, and Matplotlib. Additionally, you possess knowledge of MySQL, Postgres, and MSSQL databases, as well as 3D geometry. Your expertise also includes familiarity with SSO/OpenID Connect/OAuth authentication protocols, version control systems like GitHub/BitBucket/GitLab, and continuous integration and continuous deployment (CI/CD) pipelines. You have a basic understanding of image processing, data analysis, and data science, coupled with strong communication skills and analytical thinking capabilities from various perspectives. As a proactive team player, you are inclined towards providing new ideas, suggestions, solutions, and constructive analysis of your team members" ideas. You thrive in a fast-paced, Agile software development environment and have a good-to-have knowledge of other programming languages like C, C++, basics of machine learning, exposure to NoSQL databases, and cloud platforms like GCP/AWS/Azure. In the area of Software Engineering, you apply scientific methods to analyze and solve software engineering problems, develop and apply software engineering practices and knowledge, and exercise original thought and judgement. You are responsible for supervising the technical and administrative work of other software engineers, enhancing your skills and expertise within the software engineering discipline. Working collaboratively with other software engineers and stakeholders, you contribute positively to project performance and make informed decisions based on situational understanding. With more than a year of relevant work experience, you possess a solid understanding of programming concepts, software design, and software development principles. You consistently deliver accurate and reliable results with minimal supervision, work on various tasks and problems, and demonstrate the application of your skills and knowledge effectively. By organizing your time efficiently to meet task deadlines, collaborating with team members to achieve common goals, and making decisions based on understanding rather than just rules, you have a direct and positive impact on project performance.,

Join us as an Assistant Vice President- Credit Strategy at Barclays, where you will spearhead the development of Credit Strategies for some of the well-known co-brand credit cards. You will utilize industry-leading tools to enhance credit strategies. You may be assessed on key skills relevant for success in the role, such as experience with SAS/SQL, knowledge of Lending products especially Credit cards, understanding of the credit underwriting process, as well as job-specific skillsets. To be successful as an Assistant Vice President - Credit Strategy, you should have experience with: Basic/ Essential Qualifications: - College degree required; quantitative disciplines preferred; master's degree preferred - Analytical experience in the financial services industry; credit card experience preferred - Experience building underwriting and/or line assignment credit strategies - Experience with SAS/SQL or other relevant statistical tools Desirable skillsets/ good to have: - Strong analytical, technical, and statistical skills with a proven ability to process vast amounts of data into meaningful information - Strong knowledge of SQL, SAS, and Excel - Strong communication skills, with the ability to present information clearly, in both written and verbal form - Previous experience in the Financial Services Industry and Credit Risk Management Preferred - Ability to thrive in a dynamic and fast-paced environment Key Accountabilities: - Utilizing segment-level valuations, develop Credit Strategies (Underwriting, Line, and Pricing) for the US Partner Portfolio (50%) - Evaluate alternative data for underwriting and line assignment strategies using statistical analysis techniques such as CHAID Decision Trees, optimization procedures, loss forecasting, enhanced process monitoring, data quality analyses, and incorporate score implementations supporting launch (20%) - Develop and monitor customized manual underwriting process (10%) - Work with Segment / Strategic Analytics / Decision Science staff to ensure project completion within agreed time frames and end-client satisfaction (10%) - Analyze, validate, track, and monitor delivered projects (100%) Stakeholder Management and Leadership: The person in this role will interact with Customer Office, Credit Risk, Finance, Segment teams, Customer Delivery, and Technology teams to ensure the correct implementation of the targeting strategies. Decision-making and Problem Solving: Strong problem-solving skills are required. The person needs to be resourceful with a can-do attitude to independently push tasks forward while working with key stakeholders. Ability to make decisions on the fly when equipped with the right background information and business insights. Risk and Control Objective: Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework, and internal Barclays Policies and Policy Standards. This role will be based out of Noida, India. Purpose of the role: To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organization. Accountabilities: - Identification, collection, extraction of data from various sources, including internal and external sources - Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis - Development and maintenance of efficient data pipelines for automated data acquisition and processing - Design and conduct statistical and machine learning models to analyze patterns, trends, and relationships in the data - Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities - Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Assistant Vice President Expectations: To advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions. Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

Working at Atlassian, you have the flexibility to choose where you work - whether it's in an office, from home, or a mix of both. This empowers you to have more control over supporting your family, personal goals, and other priorities. At Atlassian, we have the ability to hire individuals in any country where we have a legal entity. Our interviews and onboarding processes are conducted virtually, as we embrace being a distributed-first company. Joining the DevInfra Transformations team at Atlassian means being part of a group that enables teams to deliver quality work at a fast pace. The team's focus is on building an industry-leading internal platform, validating hypotheses with data, and shipping features for both internal and external usage. This unique opportunity allows you to work in a collaborative environment, implement cutting-edge machine learning techniques - especially in forecasting modeling, and solve challenging problems. As a Machine Learning Engineer -2 at Atlassian, your responsibilities will involve working on the development and implementation of advanced machine learning algorithms. You will be training sophisticated models, collaborating with engineering and analytics teams to integrate AI functionality into Atlassian products and platforms. Your role will extend beyond these tasks to ensure that the transformative potential of AI is fully realized across the organization. On your first day in this role, we expect you to have a Bachelor's or Master's degree, preferably in Computer Science or equivalent experience. You should possess at least 5 years of related industry experience in the data science domain. Expertise in Python or Java, the ability to write high-quality production code, familiarity with SQL, knowledge of Spark and cloud data environments (such as AWS, Databricks), and experience in building and scaling machine learning models are essential requirements. You should also be able to communicate complex data science concepts effectively, prioritize business practicality, and have an agile development mindset. It would be advantageous if you have experience working in a consumer or B2C space for a SaaS product provider, or in the enterprise/B2B sector. Additionally, experience in developing deep learning-based models, working on LLM-related applications, and excelling in problem-solving are considered beneficial. At Atlassian, we offer a variety of perks and benefits to support you, your family, and your engagement with the local community. These include health and wellbeing resources, paid volunteer days, and more. To find out more about our perks and benefits, you can visit go.atlassian.com/perksandbenefits. Atlassian is driven by the common goal of unleashing the potential of every team. Our software products are designed to help teams worldwide collaborate effectively, making the impossible achievable through teamwork. To ensure the best experience for you, we are committed to providing accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversations with them. For more information about our culture and hiring process, you can visit go.atlassian.com/crh.,

As an Associate Manager in the Supply Chain Data Science team, you will be responsible for combining deep data science expertise with supply chain domain knowledge. Your role will involve engaging with Supply Chain Leaders globally to define analytical solutions that drive process optimization, predictive insights, and strategic decision-making across the supply chain ecosystem. You will lead 1-3 client engagements simultaneously, ranging from high-intensity pilots to full-scale solution implementations. This will involve interfacing with global Supply Chain Leaders to identify analytical needs and solution requirements, building and maintaining strong client relationships, and translating complex supply chain challenges into data-driven analytical frameworks. In terms of team leadership and project management, you will lead and mentor teams of Analysts, Senior Analysts, and Engineers, maintain command over project status and deliverables, actively contribute to technical solutions, and drive last-mile adoption through effective change management strategies. Your responsibilities will also include designing and implementing advanced analytics solutions for supply chain optimization, building predictive models for demand forecasting and inventory optimization, developing machine learning algorithms for procurement analytics and transportation optimization, and creating repeatable analytical tools and data models to solve specific business problems. You will apply statistical methods and operations research techniques to address complex supply chain challenges. Additionally, you will design sustainable, scalable, and self-serve analytical solutions for clients, oversee the development of data pipelines and ETL processes for supply chain data, ensure the integration of analytical solutions with existing supply chain software, and drive the adoption of cloud-based analytics platforms and modern data architectures. To be successful in this role, you should have a Master's degree with 6+ years of relevant experience in Supply Chain Analytics/Data Science or a Graduate degree with 7+ years of relevant experience. You should also possess deep expertise in at least one supply chain function, advanced proficiency in programming languages like Python/R, strong database management skills, experience with machine learning, and proficiency in data visualization tools. In summary, this role offers a tremendously impactful opportunity to join the Supply Chain Practice Leadership team, with independence in design and execution, opportunity for career growth, access to cutting-edge analytics tools, global exposure, and substantial performance-based compensation. As an Associate Manager, you will be expected to demonstrate expertise in analytical thinking, technical design, process consulting, program management, product management, and growth leadership.,

You will be responsible for building deep learning models using TensorFlow/PyTorch. Collaborate with the team to ensure proper testing and deployment of the models. Demonstrate good knowledge and understanding of Deep Learning Algorithms in both NLP (LSTMs, RNNs, etc.) and Computer Vision (CNNs, etc.) domain, as well as TensorFlow and deep learning frameworks like Keras, PyTorch to solve real-life problems. Create and update documentation for the work done. Understand deep learning algorithms implementation from scratch such as LSTM, RNNs, DNNs, BI-LSTMs. Work on Computer Vision and Image processing, as well as TRANSFER LEARNING - GANs. Minimum qualifications include a Master or PhD degree in Statistics, Applied Mathematics, or similar quantitative discipline, or equivalent practical experience. Relevant internship or work experience with data analysis. Experience with statistical software (R, Python, S-Plus, SAS, or similar) and database languages (e.g. SQL) is required. Preferred qualifications include a Master's or B.Tech in relevant field. Your responsibilities will include researching on given machine learning/data science topics for writing articles for company websites. Assist with hands-on coding on Jupyter Notebook for providing code snippets in the articles. Work on short projects & assignments, deployment techniques, and design and implement machine learning, information extraction, probabilistic matching algorithms and models. Use your passion for programming and deep learning/AI skills using Python, TensorFlow, and deep learning frameworks like Keras, PyTorch to solve real-life problems. Develop AI solutions in the computer vision domain using convolutional neural networks (CNN) and a combination of deep neural networks such as CNN & RNN. Solve object detection, recognition, image classification problems using machine learning and deep learning algorithms & transfer learning methods and techniques. Use innovative & automated approaches for data annotation, labeling, and data augmentation & use active learning. Handle online code assistance, code mentoring, and education-based solutions. Perks include Certificate, Letter of recommendation, Flexible work hours, Informal dress code, 5 days a week, Free snacks & beverages.,

We are seeking a passionate and skilled AI & Machine Learning Developer to become a valuable member of our team. Your responsibilities will involve working on various aspects of Data Science, Machine Learning, and Generative AI, which will contribute to the creation of real-world applications such as predictive analytics and LLM-powered intelligent systems. Joining our AI team will provide you with the opportunity to develop and implement end-to-end solutions utilizing cutting-edge frameworks including PyTorch, TensorFlow, modules, Langchain, llamacpp, among others. This position is perfect for individuals who excel in a dynamic, research-oriented development environment and derive satisfaction from utilizing data and AI to solve complex problems. This is a full-time role with day shift schedule. The work location is on-site.,

We are seeking a highly experienced candidate with over 13 years of experience for the role of Technical Project Manager(Data) in Trivandrum/Kochi location. As a Technical Project Manager, your responsibilities will revolve around owning the end-to-end delivery of data platform, AI, BI, and analytics projects. It is essential to ensure alignment with business objectives and stakeholder expectations. Your role will involve developing and maintaining comprehensive project plans, roadmaps, and timelines for various aspects including data ingestion, transformation, governance, AI/ML models, and analytics deliverables. Leading cross-functional teams, comprising data engineers, data scientists, BI analysts, architects, and business stakeholders, to deliver high-quality and scalable solutions within the defined budget and timeframe will be a key aspect of this role. Furthermore, you will be responsible for defining, prioritizing, and managing product and project backlogs covering data pipelines, data quality, governance, AI services, and BI dashboards or reporting tools. Collaboration with business units to capture requirements and translate them into actionable user stories and acceptance criteria for data and analytics solutions is crucial. Overseeing BI and analytics areas, including dashboard development, embedded analytics, self-service BI enablement, and ad hoc reporting capabilities, will also be part of your responsibilities. It is imperative to ensure data quality, lineage, security, and compliance requirements are integrated throughout the project lifecycle in collaboration with governance and security teams. Coordinating UAT, performance testing, and user training to ensure successful adoption and rollout of data and analytics products is vital. Acting as the primary point of contact for all project stakeholders, providing regular status updates, managing risks and issues, and escalating when necessary are essential aspects of this role. Additionally, facilitating agile ceremonies such as sprint planning, backlog grooming, demos, and retrospectives to foster a culture of continuous improvement is expected. Driving post-deployment monitoring and optimization of data and BI solutions to meet evolving business needs and performance standards is also a key responsibility. Primary Skills required for this role include: - Over 13 years of experience in IT with at least 6 years in roles such as Technical Product Manager, Technical Program Manager, or Delivery Lead - Hands-on development experience in data engineering, including data pipelines, ETL processes, and data integration workflows - Proven track record in managing data engineering, analytics, or AI/ML projects end to end - Solid understanding of modern data architecture, data lakes, warehouses, pipelines, ETL/ELT, governance, and AI tooling - Hands-on familiarity with cloud platforms (e.g., Azure, AWS, GCP) and DataOps/MLOps practices - Strong knowledge of Agile methodologies, sprint planning, and backlog grooming - Excellent communication and stakeholder management skills, including working with senior execs and technical leads Secondary Skills that would be beneficial for this role include: - Background in computer science, engineering, data science, or analytics - Experience or solid understanding of data engineering tools and services in AWS, Azure & GCP - Exposure or solid understanding of BI, Analytics, LLMs, RAG, prompt engineering, or agent-based AI systems - Experience leading cross-functional teams in matrixed environments - Certifications such as PMP, CSM, SAFe, or equivalent are a plus If you meet the above requirements and are looking for a challenging opportunity in Technical Project Management within the data domain, we encourage you to apply before the closing date on 18-07-2025.,

Job Description: Dreaming big is in our DNA. It's who we are as a company, our culture, our heritage, and most importantly, our future. A future where we are always forward-looking, serving up innovative ways to meet life's moments. At our core, we look for individuals with passion, talent, and curiosity, providing them with the necessary resources and opportunities to unleash their full potential. The power we create together, combining your strengths with ours, is truly unstoppable. If you are ready to join a team that dreams as big as you do, then we welcome you to be a part of our journey. AB InBev GCC, established in 2014, serves as a strategic partner for Anheuser-Busch InBev. Leveraging the power of data and analytics, the center drives growth across critical business functions such as operations, finance, people, and technology. The teams are at the forefront of transforming operations through technology and analytics. Do you dream big We need you. **Job Title:** Project Manager **Location:** Bangalore **Reporting to:** Senior Manager **Purpose of the role:** As a Project Manager, you will lead the execution of multi-phase, high-impact global data products, focusing on analyzing Customer and Consumer sentiments across various platforms. Acting as the Scrum Master, you will ensure Agile best practices are followed, managing sprints effectively to drive velocity and quality. Your role will involve serving as the central coordination point across Data Science, Visualization, Engineering, and Functional teams, ensuring on-time delivery of project milestones while managing complexity, stakeholder communication, and risk mitigation. **Key tasks & accountabilities:** - Act as Scrum Master: plan and execute stand-ups, sprint planning, retrospectives, and sprint reviews. - Maintain sprint boards and delivery trackers using tools like Azure DevOps, ClickUp, or Jira. - Develop and update project documentation, including timelines, milestones, deliverables, and risk logs. - Facilitate collaboration between cross-functional teams, including data scientists, BI developers, data engineers, and stakeholders. - Communicate project progress, dependencies, and roadblocks to leadership and global stakeholders. - Identify and address impediments affecting team velocity and sprint health. - Ensure team alignment with business priorities and timelines across different geographies. - Track and report progress against KPIs, project health indicators, and delivery benchmarks. - Support the team in balancing technical development with usability and business value delivery. - Manage competing priorities, shifting deadlines, and global projects with multiple stakeholders and data ecosystems. **Qualifications, Experience, Skills:** - Bachelor's or Master's degree in Business, Engineering, Computer Science, or related fields. - Scrum Master certification (CSM/PSM) preferred. - 8+ years of project/program management experience with at least 4 years in Agile environments. - Proven experience in managing cross-functional data/tech teams and working with Data Science and BI teams. - Proficiency in project management tools (Azure DevOps, Jira, ClickUp), Data Science, BI tools (Power BI), and cloud platforms (Azure). - An undying love for beer! Join us as we dream big to create a future filled with more cheers.,

The Cloud and AI Infrastructure team at Cisco is a dynamic sales team that is always at the forefront of technology, helping customers leverage Cisco solutions in their data centers and on the cloud to drive business transformation. As a member of this team, you will collaborate with customers, partners, and team members to identify customer challenges and convert them into business opportunities. As an Account Executive - AI Infrastructure within our strategic sales team, your role will be pivotal in leading sales initiatives, exploring new prospects, and working closely with customers and partners to develop a strategic vision for their businesses. To excel in this position, you must possess a comprehensive understanding of Data Centre technology, particularly in AI-related Infrastructure, and have a proven track record in selling data center solutions in a competitive market environment. Your responsibilities will include devising and implementing a robust business development strategy to drive significant business growth. Building strong relationships with technology leaders and customers will be crucial, and you will play a key role in positioning Cisco as a leader in AI Infrastructure. Minimum Qualifications: - Possess 7+ years of experience in technology-related sales or account management with a focus on business development and emerging technologies. - Demonstrated success in growing revenue through innovative technology-based solutions. - Proficiency in addressing business challenges related to deploying data center infrastructure at scale, including AI Infrastructure. - Proven ability to collaborate across functions such as Sales, Presales, and Marketing to introduce and promote new data center infrastructure offerings. Preferred Qualifications: - Bachelor's degree in Business, Computer Science, Engineering, or a related field; advanced degree is a plus. - Excellent communication skills, both verbal and written. - Experience working within technology incubation teams to drive accelerated market share growth. - Sales expertise in deep learning, data science, and AI Infrastructure. - Sales background in Data Centre relevant technologies like storage, network, platform, server, security, and cloud. At Cisco, we are committed to providing reasonable accommodations for individuals with disabilities during the application process, interviews, job functions, and other employment-related activities. Reach out to us for any accommodation requests. Join us at Cisco, where we are shaping the future by integrating AI into our solutions to revolutionize collaboration, security, networking, and more. With a focus on ethical AI products and infrastructure, we empower customers to proactively address cybersecurity threats, predict network issues, and enhance team collaboration. Working alongside top AI experts, you can contribute to building impactful AI solutions that address real-world challenges and drive innovation in a diverse and inclusive environment. We, at Cisco, value the unique skills and perspectives that each individual brings to the table, working together towards our shared goal of fostering an inclusive future for all. Our commitment to learning and development ensures that every employee can explore multiple career paths within the organization. Through our innovative technology, tools, and culture, we support a hybrid work model that enables individuals to excel and grow professionally. By fostering diverse employee resource organizations known as Inclusive Communities, we aim to create a sense of belonging, nurture allyship, and make a positive impact within our communities. With dedicated volunteer time off, we actively engage in philanthropic endeavors that align with our passions, reflecting our dedication to giving back and creating a more inclusive future for all. As a global technology leader, we are dedicated to helping customers reinvent their operations, enhance security measures, modernize infrastructure, and achieve sustainability objectives. Our journey towards an inclusive future is driven by our people, and every effort we make brings us closer to that vision. Take the next step in your career with Cisco and embrace your true self as we work together towards a more inclusive future for all.,

Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world. Rakuten Group, Inc. is a global leader in internet services that empower individuals, communities, businesses, and society. Founded in Tokyo in 1997 as an online marketplace, Rakuten has expanded to offer services in e-commerce, fintech, digital content, and communications to approximately 1.7 billion members around the world. The Rakuten Group has nearly 32,000 employees and operations in 30 countries and regions. For more information visit https://global.rakuten.com/corp/ Group Human Resources Department (GHRD) provides HR services to more than tens of thousands of employees, and as our company continues to undergo remarkable growth and diversification, we continuously improve our processes and operations. You will be a Workday Reporting subject matter expert and be the go-to person for complex reporting challenges, data governance, and advanced analytics within the Workday ecosystem. The role is responsible for providing expert-level guidance and support for our reporting and analytics needs. The role will also play a critical part in shaping our data strategy, mentoring other team members, and ensuring that our reporting and analytics solutions are aligned with business needs and industry best practices. KEY RESPONSIBILITIES - Provide expert-level guidance on the design, development, and maintenance of complex Workday reports (Advanced, Matrix, Composite, BIRT), dashboards, including Prism Analytics. - Lead the development of reporting standards, best practices, and data governance policies. Serve as a technical lead for reporting projects, providing guidance and support to other team members. - Ability to work on multiple projects from planning through execution, independently and collaboratively. - Identify and implement opportunities to improve reporting efficiency, accuracy, and usability. - Ensure that all reports and dashboards are compliant with data privacy and security regulations. - Work with internal stakeholders and business partners to provide valuable solutions that support efficient processes and high-quality user experience, including proactive system controls. - Ability to support, mentor, and guide less experienced teammates to promote knowledge sharing and team growth. - Maintain a deep understanding of Workday data structures, business processes, security configurations, and integration capabilities. - Stay up-to-date on Workday releases and new features related to reporting, analytics, and data management. Evaluate new Workday features and recommend enhancements to improve our reporting and analytics capabilities. - Work with data owners to ensure that data is properly managed and protected. Mandatory Qualifications: This position requires deep expertise in Workday data structures, reporting tools, and data visualization techniques, as well as exceptional analytical, communication, and leadership skills. - Minimum of 4 years of experience in Workday reporting and data analytics. - Bachelor's degree in a related field (e.g., Human Resources, Finance, Information Systems, Data Science). - Workday Reporting Certification. - Expert-level proficiency in Workday reporting tools (Advanced, Matrix, Composite, BIRT) including PRISM Analytics. - Extensive experience with Workday calculated fields and custom reports. - Good understanding of HR, Finance, or other relevant business processes. - Exceptional analytical and problem-solving skills. - Strong attention to detail and accuracy. - Excellent communication, interpersonal, and presentation skills. - Proven ability to lead and mentor other team members, work independently and as part of a team.,

The Salesforce AI Platform powers AI investments in the Einstein product portfolio across Service, Sales, and other Salesforce clouds, including the recent Einstein GPT capabilities. With the recent industry-wide focus on Generative AI, we are collaborating with multiple external vendors, open-source projects, and internal Salesforce Research teams to host various Language Model Models (LLMs). Our aim is to continuously evaluate and measure quality, build a robust experimentation platform, and enable seamless rollout of these LLMs/prompts. We also strive to enhance LLM/prompt capabilities based on customer data and feedback. We are currently looking for an exceptional Product Manager to lead the future of Sales AI for Salescloud, specifically focusing on building AI capabilities that assist sellers. The ideal candidate for this high-profile role is an experienced product manager who is dedicated to ensuring the success of customers and their teams. This position is perfect for an individual who is ready to elevate their career to the next level. **Your Impact:** - Define and own the product vision, strategy, and roadmap for Sales AI, with a focus on aspects such as Experimentation and Improvements, Prompt tuning, Model fine-tuning, Retrieval Augmented Generation (RAG), Keyword & Vector Search, and No-code model builder experiences. - Drive the end-to-end product lifecycle from concept to adoption, including defining requirements with prioritized features, corresponding justification, and success metrics. - Collaborate with multiple engineering teams to scope, prioritize, and drive feature specifications. - Engage with customers, stakeholders, and partners to provide roadmap updates, gather product feedback, and identify challenges and opportunities. - Stay abreast of industry trends and competition in Generative AI. - Work closely with product marketing on positioning, messaging, and go-to-market strategies. - Serve as a domain and product expert for Salesforce at customer interactions, industry events, corporate events, community sites, and social media. **Required Skills:** - 8+ years of Product Management or similar experience with highly technical products/platforms. - Extensive experience in the AI/ML space, including a strong technical background and the ability to collaborate with engineers and data scientists. - Excellent written and oral communication skills, with experience presenting to executive leadership, participating in the sales cycle, and addressing sensitive issues. - Experience in delivering products or services in an agile/lean environment, including backlog management (user stories, epics, and bugs). - Proficiency in gathering and transforming product requirements into a practical product roadmap. - Experience in fostering collaborations within the company, as well as with external partners and customers. - A degree or equivalent relevant experience is required. Evaluation will be based on core competencies for the role. **Desired Skills:** - Experience in defining and building AI platforms and capabilities that enable different personas to perform tasks as part of the end-to-end ML lifecycle. - Good understanding of Generative AI and the LLM landscape. - Experience in working with ML metrics, evaluations, and benchmarking. - Experience collaborating with Data Science and ML Engineering teams.,

As a Bid Manager, you will be responsible for independently managing business proposals end-to-end, collaborating closely with Client Partners, Delivery Leaders, and Services for large deals that require new and complex technical solutions. Your role will involve organizing, planning, and tracking bids, working with various internal teams to prepare compelling proposal responses for Requests for Proposals (RFPs) that necessitate complex technical solutions across multiple technology elements. Key Responsibilities: - Manage end-to-end proposals, ensuring the organization, planning, and tracking of bids - Understand customer requirements and business problems to drive pursuit discussions towards developing a winning proposal - Collaborate with internal teams to create a solution narrative and enable the pursuit team to craft a compelling response - Coordinate pursuit discussions with support functions like HR, Legal, and Finance to complete proposal responses on time and with quality - Engage with senior stakeholders within the organization confidently and effectively - Provide regular status updates to sales leadership, highlighting issues and challenges for timely intervention - Finalize bid response documents by formatting and packaging them for submission Measures of Success: - Number of RFPs responded to - Number of RFPs won - Feedback from internal stakeholders - Review and rework required on RFP responses Desired Outputs: - Efficient bid management by organizing, planning, and tracking proposals - Crafting relevant and customized responses for proposals in collaboration with Services and Sales - Ensuring quality of all deliverables through review and sign-off by designated function heads - Managing stakeholder relationships effectively to drive pursuit conversations and define win themes - Fostering teamwork within the proposal team to align with expected differentiators and common goals Required Skills: - Ability to write sales content tailored to client requirements - Proficiency in driving pursuit discussions to define win themes and differentiators for bid success - Strong organizational skills to plan, track, and manage bid activities, collating inputs from various stakeholders Desired Knowledge: - Strong background in Pre-sales - Proficiency in proposal writing - Certifications like APMP will be advantageous Additionally, a deep technical expertise in Data Engineering and Data Science is preferred, with knowledge in areas such as data architectures, ETL/ELT processes, machine learning algorithms, and cloud data platforms. Familiarity with big data technologies and data governance principles will be beneficial for this role. Your role as a Bid Manager will involve a combination of strategic thinking, collaboration with cross-functional teams, and effective communication with stakeholders to drive successful proposal responses and secure new business opportunities.,

You are a Senior Data Engineer with 7 to 11 years of experience who is proficient in building and managing scalable, secure, and high-performance data pipelines and storage solutions. Your primary focus will be on Microsoft Azure data services. In Requirement 1 (Azure Focus), your key responsibilities will include designing and implementing robust data pipelines using Azure Data Factory, Azure Data Lake, and other Azure services. You will also develop and optimize large-scale data processing using Databricks and PySpark. Additionally, you will work with both relational (SQL) and NoSQL databases, write clean code in Python and/or Scala, and collaborate with cross-functional teams. To excel in this role, you must have 7-11 years of professional experience as a Data Engineer, deep expertise with Azure Data Services, solid experience with Databricks and PySpark, proficiency in SQL and NoSQL databases, and a strong background in Python, Scala, and object-oriented programming. In Requirement 2 (GCP & Databricks Specialist), you will be expected to build, maintain, and optimize scalable data pipelines using Databricks and Google Cloud (BigQuery, Cloud Storage, etc.). You will collaborate with analytics and data science teams, perform exploratory data analysis (EDA), and ensure best practices in data modeling, governance, and lifecycle management. For this role, you should have 7-11 years of professional experience in data engineering, expert-level proficiency in Databricks, BigQuery, and Python, strong SQL skills with large datasets, exposure to data science concepts and EDA methodologies, and familiarity with CI/CD processes and version control systems.,

The Cloud and AI Infrastructure team is a sales team at the cutting edge, assisting customers in leveraging Cisco technology in data centers and on the cloud. Collaborating with customers, partners, and team members, the team transforms customer challenges into business advantages. As a dynamic Account Executive - AI Infrastructure, you will play a crucial role in our strategic sales team. Your responsibilities will include leading sales opportunities, identifying new prospects, and collaborating closely with customers and partners to define a strategic vision for their business. You must possess a profound understanding of Data Centre technology, particularly AI-related Infrastructure, and have a proven track record in selling data center infrastructure within a competitive landscape. Your primary focus will be on developing and executing a business development strategy to drive robust business growth. Building strong relationships with technology leaders and customers, you will position Cisco as a leader in AI Infrastructure solutions. **Minimum Qualifications:** - 7+ years of sales or account management experience in technology, emphasizing business development and incubating new technologies. - Demonstrated success in increasing revenue through innovative technology-based solutions. - Proficiency in addressing business challenges related to deploying data center infrastructure at scale, including AI Infrastructure. - Track record of cross-functional collaboration with Sales, Presales, and Marketing to launch new data center infrastructure offerings. **Preferred Qualifications:** - Bachelor's degree in Business, Computer Science, Engineering, or related field; advanced degree is a plus. - Strong verbal and written communication skills. - Experience in technology incubation teams to accelerate market share growth. - Sales expertise in deep learning, data science, and AI Infrastructure. - Sales background in Data Centre relevant technologies such as storage, network, platform, server, security, and cloud. At Cisco, we are committed to providing reasonable accommodations for individuals with disabilities throughout the job application process, interviews, essential job functions, and other employment benefits. If you require accommodation, please reach out to us. Cisco is dedicated to integrating AI into solutions that revolutionize collaboration, security, networking, observability, and more. We are focused on developing ethical AI products that empower customers to proactively combat cyber threats, predict and prevent network disruptions, and enhance team productivity. Join us at Cisco to collaborate with leading AI experts and contribute to our mission of creating an inclusive future for all. Our culture at Cisco values connection and diversity, encouraging continuous learning and development at all levels. We empower our employees to excel and innovate in a hybrid work environment. Together, we aim to bring communities together, with our people at the core of our mission. Join us to be part of a global technology leader that drives innovation and fosters an inclusive future for all. As a Cisco employee in the U.S. and/or Canada, you will have access to comprehensive medical, dental, and vision insurance, a 401(k) plan with a matching contribution, disability coverage, life insurance, and various wellbeing programs. Incentive compensation is structured based on revenue attainment, providing a rewarding opportunity for exceeding performance goals.,

You have 10 to 18 years of relevant experience in Data Science. As a Data Scientist, your responsibilities will include modeling and data processing using Scala Spark/PySpark. You should have expert level knowledge of Python for data science purposes. Additionally, you will be required to work on data science concepts, model building using sklearn/PyTorch, and Graph Analytics using networkX, Neo4j, or similar graph databases. Experience in model deployment and monitoring (MLOps) is also desirable. The required skills for this Data Science position include: - Data Science - Python - Scala - Spark/PySpark - MLOps - GraphDB - Neo4j - NetworkX Our hiring process consists of the following steps: 1. Screening (HR Round) 2. Technical Round 1 3. Technical Round 2 4. Final HR Round This position is based in Pune.,

The Senior Specialist, Global Commercial Pharma Pipeline Analytics in the Human Health Digital Data and Analytics (HHDDA) team is responsible for developing and delivering data and analytics to generate strategic insights and address global brand leads business questions related to pharma pipeline investments and beyond G7 investments. This role involves partnering closely with global marketing, regional marketing, clinical and discovery, finance & enterprise strategy teams to support executive decision making through analytics support for clinical development, business development, and alliances/partnerships decisions. The Senior Specialist will collaborate with pipeline forecasting capabilities using real-world, market research, and financial data to establish analytics capabilities for early commercial marketing framework. They will lead the development of analytics capabilities for the pharma pipeline in assigned therapeutic areas such as infectious diseases/HIV, immunology, cardiovascular, and/or ophthalmology disease areas. Additionally, this role involves embedding enterprise go-to-market strategy in early commercial strategy for beyond G7 investments. Primary Responsibilities: - Develop commercial insights solutions, business cases, and market evaluation to support decision making for the pharma pipeline and business development. - Partner with global marketing teams, operations, and clinical to inform strategic reviews and increase commercial rigor through all phases of pipeline asset development. - Provide transparency and commercial insights on the pipeline portfolio related to market dynamics, competitive insights, patient journeys, and access considerations. - Lead benchmarking analytics to translate insights into recommended business actions for pipeline development choices. - Deliver hands-on analytics project with expertise in data manipulation, analysis, and visualization using various tools and technologies. Required Experience and Skills: - Bachelor's degree, preferably in a scientific, engineering, or business-related field. - 8+ years of overall experience and 4+ years of relevant experience in marketing, clinical development, commercial/advanced analytics, asset portfolio management, strategic planning, insights syndication within the pharmaceutical or biotechnology industry. - Strong problem-solving abilities and experience in conducting secondary data analytics on large datasets using relevant skills. - Deep understanding and hands-on expertise in pharma commercial data ecosystem and visualization tools. - Experience in building patient analytics and patient journey from commercial and real-world datasets. - Strong communication skills, relationship-building, and influencing skills. Preferred Experience and Skills: - Experience in healthcare data, insights, and analytics. - Experience in Life Science or consulting industry. - Advanced degree preferred. - Therapeutic area experience in infectious diseases/HIV, immunology, cardio-metabolic, and/or ophthalmology/rare diseases preferred. - Global experience preferred. The Human Health Division at Merck & Co., Inc. maintains a patient-first, profits-later ideology and values diversity and inclusivity in the workplace. The company is committed to fostering an inclusive and diverse environment and encourages collaboration amongst colleagues with diverse ideas. Merck & Co., Inc. is an equal opportunity employer. Please note that this job posting is effective until 07/20/2025. All applications must be submitted before 11:59:59 PM on the day BEFORE the job posting end date.,

Are you ready to make an impact at Mondelz International Join our mission to lead the future of snacking and make it possible. You will have the opportunity to support the data strategy and lead the development of custom models and algorithms, contributing significantly to our business performance. Partnering closely with the business leadership team, you will manage the vision and agenda for business analytics in your area of responsibility. In this role, you will support stakeholders across the portfolio by implementing agile ROI/KPI initiatives that drive improvements. You will also identify and collaborate with external partners to deliver on projects, develop custom models and algorithms to uncover signals, patterns, and trends for long-term business performance. Additionally, you will play a key role in shaping the data strategy in your area of responsibility, covering data collection architecture, data governance, and data reporting infrastructure. Building and leading a professional and reliable team will be part of your responsibilities, as well as running the business analytics program practice methodically to communicate the value of business analytics to stakeholders. To excel in this position, you should have a strong desire to drive your future and accelerate your career. Your experience and knowledge should include the ability to influence the business agenda, leadership in analytics practice roles, deploying new analytical approaches in complex organizations, and using analytics techniques effectively to create business impacts. People leadership experience is also essential. As the D&A Analytics lead for India, you will craft the Data & Analytics strategic vision and roadmap, driving momentum within the organization and delivering strong business value at the right cost structure. You will collaborate with regional and global teams, fostering adoption plans and continuous improvement initiatives. Your role will involve presenting insights at key leadership forums and building capabilities within the teams to embed analytics in business processes effectively. In addition to leading analytics delivery and BI development for India, you will coach and build an agile, inspired team with a growth mindset. Managing funds, securing funding for analytics agendas, and tracking spends judiciously will be part of your responsibilities. You should also possess strong data and analytics skills, technology proficiency, and essential soft skills such as leadership, communication, facilitation, creativity, teamwork, collaboration, storytelling, and influencing. If you have a good understanding of analytics concepts, methods, and techniques, along with technology skills in programming languages, data integration tools, and analytics platforms, and possess domain skills related to business process transformation and data governance, you are encouraged to apply for this role. Agility, growth mindset, project management capabilities, and decision-making skills are also crucial for success in this position. Mondelz International offers within-country relocation support and minimal assistance for candidates moving internationally as part of the Volunteer International Transfer Policy. Join us in empowering people to snack right and delivering high-quality, sustainable snacks that nourish life's moments. Become a part of our diverse community and contribute to our purpose and values.,

This position will support the Anomaly Detection Platforms (ADP) team and help drive several of Visa s most important and high-visibility fraud deterrence and compliance enablement projects within Global Risk team at Visa. This fast-paced team of technology experts identifies, investigates, disrupts and prevents compliance breaches and fraud attacks targeting the global payment ecosystem. This data and analytics team is working closely with the Visa Direct team to identify non-compliance across money-movement merchants and their acquiring banks leveraging advanced analytics and data science techniques. Key measures of success for this position include the ability to develop and automate key data intelligence capabilities that optimize detection of Visa Direct acquirer & merchant non-compliance activities, the development of advanced metrics that evaluate the non-compliance risk of key clients, and automated reporting at scale for business enforcement. The solutions developed under this role will lead to measurable improvement in Visa Direct s transactional data integrity and streamlined operations of Visa Direct business. The Primary responsibilities for this role will include: Lead the design and production deployment of new and advanced techniques to recognize non-compliance in Visa Direct AFT and OCT transactions including peer-to-peer transfers, wallet loads, account funding, money transfers, etc. Manage non-compliance detection taxonomies and thresholds that optimize true positive detections. Analyze complex financial data to uncover patterns, anomalies, and insights that support risk assessment and non-compliance identification. Collaborate closely with issuing and acquiring clients to understand their specific risk and fraud challenges, providing expert guidance and tailoring solutions to their needs. Provide data analysis to provide evidence against non-compliance in merchant registration and operations. Continuously question and consider new techniques to stay ahead of key money movement trends. Assist in the coordinated compilation and delivery of reporting, briefings, and other related communication products to Visa management. Collaborate with Technology partners to enhance detection capabilities for improved insights and pattern detection. SECONDARY RESPONSIBILITIES: Develop customized monitoring solutions to enable clients to take proactive action during merchant registration to avoid non-compliance at source. Support the development of data-led cybercrime and fraud prevention initiatives including point-of-sale (card present/card not present) terminal fraud, anomalous cross-border volumes, Purchase Return Authorization fraud, data manipulation attacks, and ATM Cashouts. Provide intelligence and technical analysis support to the Global Risk organization to further protect the payment ecosystem. Create detailed documentation for all the Visa Direct analytics solutions. Communicate openly with the Visa Direct team and act as an SME and point of escalation. Develop a plan to partner and gather intelligence details from acquirers for all source analysis. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. REQUIRED EXPERIENCE : 2 to 3 years of work experience (preferably in payments industry) with a Bachelors Degree or an Advanced Degree (e.g. Masters, MBA, or PhD Ability to conduct com

Manager, Data Scientist, Pricing Strategy - Gurugram, Haryana, India Manager, Data Scientist, Pricing Strategy Manager, Data Scientist, Pricing Strategy About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences . Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong, Klook inspires and enables more moments of joy for travelers with over half a million curated quality experiences ranging from the biggest attractions to paragliding adventures, iconic museums to rich cultural tours, and other convenient local travel services across 2,700 destinations around the world. Do you share our belief in the wonders of travel? Our international community of over 1,800 employees, based in 30+ locations, certainly do! Global citizens ourselves, Klookers are not only curating memorable experiences for others but also co-creating our world of joy within Klook. We work hard and play hard, upkeeping our high-performing culture as we are guided daily by our 6 core values: Customer First Push Boundaries Critical Thinking Build for Scale Less is More Win as One We never settle, and together, we believe in achieving greater heights and realizing endless possibilities ahead of us in the dynamic new era of travel. Care to be a part of this revolution? Join us! As a Data Scientist within the Pricing Strategy team, you will play a pivotal role in driving data-driven decision-making and optimizing pricing strategies. You will leverage your expertise in data science and analytics to develop and implement dynamic pricing models, predictive and prescriptive analysis, ultimately contributing to revenue growth and market competitiveness. What youll do: Dynamic Pricing Model Development: Develop and implement advanced dynamic pricing models to optimize product pricing across various channels and markets. Predictive Analytics: Utilize predictive modeling techniques to forecast demand, market trends, and customer behavior, enabling proactive pricing adjustments. Prescriptive Analysis: Employ prescriptive analytics to identify optimal pricing strategies based on specific business objectives and constraints. Data Exploration and Analysis: Conduct in-depth data exploration and analysis to uncover valuable insights and inform pricing decisions. Model Evaluation and Refinement: Continuously evaluate and refine pricing models to ensure their accuracy and effectiveness. Collaboration: Collaborate with cross-functional teams (e.g., marketing, sales, finance) to align pricing strategies with overall business goals. Stay Updated : Stay abreast of the latest advancements in data science and pricing optimization techniques. What youll need: Masters degree or PhD in Data Science, Statistics, Computer Science, Economics, or a related field. A minimum of 3-4 years of relevant experience in the field of Data Science. Strong programming skills in Python or R, including proficiency in data manipulation, analysis, and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn). Experience with machine learning algorithms and techniques (e.g., regression, classification, clustering, time series analysis). Knowledge of statistical modeling and hypothesis testing. Experience with data warehousing and cloud computing platforms (e.g., AWS, GCP, Azure) is a plus. Excellent problem-solving and analytical skills. Ability to communicate complex technical concepts to both technical and non-technical audiences. Passion for data-driven decision-making and a continuous learner mindset. Klook is proud to be an equal opportunity employer. We hire talented and passionate people of all backgrounds. We believe that a joyful workplace is an inclusive workplace, one where employees from all walks of life have an equal opportunity to thrive. We re dedicated to creating a welcoming and supportive culture where everyone belongs. Klook does not accept unsolicited resumes from any temporary staffing agency, placement service or professional recruiter ( Agency ). Klook will not be responsible for, and will not pay, any fees, commissions or other payments related to such unsolicited resumes. An Agency must obtain advance written approval from Klook s Talent Acquisition Team to submit resumes, and then only in conjunction with a valid fully-executed agreement for service and in response to a specific job opening for which the Agency has been requested to submit resumes for. Klook will not be responsible for, and will not pay, any fees, commissions or other payments to any Agency that does not have such agreement in place or does not comply with the foregoing. Alert me about jobs like this Upon clicking Apply, you will be redirected to the Klook Workday application form. Please do not close your browser. We have emailed you a code to verify your identity. Please check your spam/junk folder if you dont receive the email in your inbox. Please enter your validation code: Hold on, youre being redirected to the application form. About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... Sales & Business Development About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... Hong Kong SAR Hong Kong SAR About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... Sales & Business Development About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. 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