595 Statistical Analysis Jobs - Page 3

As a Data Analyst & Insights professional, you will be responsible for analyzing large datasets from various sources to identify trends, patterns, and actionable insights that are crucial for media and business stakeholders. Your role will involve developing and maintaining dashboards, reports, and visualizations using BI tools like Tableau and Power BI. It will be essential to translate complex data findings into clear and compelling narratives for non-technical audiences. In addition to data analysis, you will design, implement, and maintain robust data pipelines and ETL processes to ensure data quality, integrity, and consistency across all analytics outputs. Collaboration with cross-functional teams to define KPIs, track performance, and identify optimization opportunities will also be a key aspect of your role. Your expertise in Media Analytics will be utilized to apply analytics to media metrics such as audience engagement, campaign performance, and content effectiveness. You will monitor and analyze key performance indicators specific to the media industry and contribute to creating performance reports for campaigns, brands, and channels. Stakeholder engagement will be another critical component of your role, requiring you to partner with business leaders, marketing, and product teams to understand data needs and deliver tailored analytics solutions. You will present insights and recommendations to senior management and external clients. Continuous improvement is encouraged in this role, and staying updated with industry trends, emerging technologies, and best practices in data analytics and business intelligence is essential. You will identify and implement process improvements to enhance analytics efficiency and impact. To excel in this position, you should have 7-9 years of experience in data analysis, business intelligence, or related roles, preferably within the media industry. Proficiency in SQL for data querying and manipulation, experience in team management, and advanced knowledge of Python for data analysis, automation, and scripting are required. Hands-on experience with BI tools like Tableau and Power BI, familiarity with data visualization best practices, and strong statistical and analytical skills are also necessary. Excellent communication and presentation skills, the ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment are essential for success in this role. Experience with cloud data platforms (AWS, GCP, or Azure) is a plus, as well as knowledge of media analytics platforms (e.g., Google Analytics, Adobe Analytics) and digital marketing metrics. An understanding of data governance, privacy, and compliance standards is also beneficial. A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field is preferred.,

As a Business Analytics Analyst 1 within the Model governance area of the North America Consumer Bank team at Citi, you will be responsible for ensuring comprehensive and regulatory-compliant documentation of financial models used in the North America Consumer Bank. This role requires a balance of technical understanding, regulatory procedures/policies, and strong documentation skills. You will report to the AVP / VP leading the team. The Next Gen Analytics (NGA) team, a part of the Analytics & Information Management (AIM) unit, focuses on various areas of work including detail-oriented tasks, effective collaboration, statistical mindset, communication skills, strong ownership, process enhancement, project management, coaching, and mentoring. As the Business Analytics Analyst 1, you will work on model governance related responsibilities for multiple portfolios, creating, updating, and maintaining detailed documentation of outcomes from model monitoring & review processes, ensuring compliance with Citi standards and providing guidance on governance best practices. Your role will involve overseeing the model inventory, ensuring proper documentation, validation, and approval processes are followed, and compliance with policies, procedures, and relevant deadlines associated with validation, ongoing monitoring, and model change processes. Working with large and complex data sets using tools such as Python, PySpark, SQL, SAS, and R will be part of your responsibilities, along with collaborating with other team members, peers, and stakeholders. You will be expected to demonstrate attention to detail, strong analytical and process management skills, and assess risk when making business decisions, while maintaining compliance with applicable laws, rules, and regulations. Your role will also require clear and concise communication, both written and verbal, strong project management skills, attention to detail, and the ability to handle multiple projects simultaneously. If you are a bright and talented individual with a Bachelor's Degree and 1-3 years of experience in data analytics, or a Master's Degree with 0-2 years of experience in data analytics, or a PhD, Citi offers amazing opportunities for you. Technical skills, experience in model risk management, model validation/monitoring/reporting, understanding of model risk regulations and fair lending laws, and proficiency in Statistical Analysis with exposure to Machine Learning & Deep learning modeling techniques are desired qualities. Self-motivation, detail orientation, and experience in Credit Cards and Retail Banking are preferred. Citi values competencies such as strong communication skills, stakeholder management, analytical and problem-solving skills, team player mindset, control orientation, risk awareness, experience in a quantitative field, willingness to learn, can-do attitude, and ability to build partnerships with cross-functional leaders. A Bachelor's/Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, Engineering, or related fields from a premier institute is required for this role. This is a full-time employment opportunity in the Credit Cards, Retail Banking, Financial Services, Banking industry at Citi. If you are a person with a disability and need a reasonable accommodation to use the search tools or apply for a career opportunity, review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster for more information.,

As a Data Scientist focused on R programming, you will be responsible for conducting analysis using the R statistical programming language. Working closely with the research team, your role will involve the creation, management, and analysis of extensive and intricate datasets. Your analytical tasks will encompass developing predictive models, conducting text data mining, and building customized statistical models. The ideal candidate for this position should hold a Master's degree in statistics, economics, mathematics, or a related field. Proficiency in R programming is essential, including the ability to code in R and a strong grasp of econometrics principles. Candidates with a minimum of 2 years of experience in R programming are preferred, although fresh graduates comfortable with R will also be considered. You should possess the capability to handle large datasets effectively and exhibit qualities such as high energy, a team-oriented mindset, and a positive attitude. Problem-solving skills are crucial, along with the ability to independently research and address partner inquiries promptly and efficiently. Collaboration is a key aspect of our work culture, where teamwork, mutual support, and knowledge-sharing are highly valued. In this role, you will be expected to develop analytical frameworks to assess information, situations, and data, distinguishing between critical and trivial aspects using the 80/20 principles. Strong numerical proficiency is essential for analyzing and interpreting data, enabling you to present insights in a clear and concise manner to your team, colleagues, and management. Building strong partnerships and fostering high-level relationships with partners is a key aspect of this position. You will be involved in developing new business opportunities and leveraging partnerships to drive growth and innovation. The compensation for this position is competitive and aligned with the best practices in the industry. Additionally, you will have the opportunity to receive ESOPs from one of the most successful fintech companies in India. This role offers a chance to make a meaningful impact on people's lives and contribute as a change agent in the banking services sector.,

As a valuable member of our team, your responsibilities will include supporting data collection from both lab and field validation tests. This will involve performing data cleaning, validation, and basic statistical analysis to ensure the accuracy and integrity of the data gathered. You will also play a key role in preparing structured reports and dashboards for internal review, contributing to the overall efficiency and effectiveness of our processes. Collaboration with test engineers will be essential in your role, as you work together to guarantee data accuracy and consistency across all testing procedures. Your contributions to data-driven insights will be crucial for root cause analysis and identifying areas for performance improvement. By leveraging your analytical skills and attention to detail, you will play a vital part in driving our continuous improvement efforts and ensuring the quality of our testing processes.,

DAT is an award-winning employer of choice and a next-generation SaaS technology company that has been at the leading edge of innovation in transportation supply chain logistics for 45 years. We continue to transform the industry year over year, by deploying a suite of software solutions to millions of customers every day - customers who depend on DAT for the most relevant data and most accurate insights to help them make smarter business decisions and run their companies more profitably. We operate the largest marketplace of its kind in North America, with 400 million freights posted in 2022, and a database of $150 billion of annual global shipment market transaction data. Our headquarters are in Denver, CO, with additional offices in Missouri, Oregon, and Bangalore, India. For additional information, see www.DAT.com/company. Please note that this role must overlap with Pacific Time hours (IST +12:30) due to the highly collaborative nature of the job. Typical hours are 06.30PM - 03.30AM IST DAT is seeking a highly skilled and collaborative Senior Business Insights Analyst to serve as a dedicated analytical partner to our business Segment Leads. In this pivotal role, you will be the central point of contact for our Carrier, Broker, and Shipper segments, transforming complex data into the actionable insights that drive their strategic and tactical initiatives. You will act as an analytical hub, deeply embedding yourself with the Segment Leads to understand their unique challenges and opportunities. You will conduct hands-on, sophisticated analysis while also orchestrating insights from specialized teams across Finance, Marketing, and Product. Your mission is to provide each Segment Lead with a comprehensive, cohesive data narrative to guide their decision-making and accelerate their growth. Strategic Partnership: Serve as the primary analytical partner and a single point of contact for DATs Segment Leads (Carriers, Brokers, Shippers), translating their business needs into impactful analytical projects. Insight Orchestration: Coordinate and synthesize analyses from domain-specific analysts (e.g., Finance, Marketing, Product) to provide Segment Leads with a holistic view of business performance. Outsource and delegate analytical tasks to specialized teams where appropriate. Deep-Dive Analysis: Lead complex, end-to-end analyses to answer critical business questions. For example, evaluate how a change in acquisition tactics for a segment drove new signups, active product use, and 30-day survivability to estimate the value and ROI of a new approach. Data Storytelling & Visualization: Develop and maintain insightful, automated dashboards and reports in Tableau and Business Objects, presenting clear and compelling data stories that resonate with executive and operational audiences. Performance Measurement: Define, monitor, and analyze the key performance indicators (KPIs) that matter most to each business segment, providing proactive insights on trends and performance drivers. Ad-Hoc Projects: When capacity allows, contribute your analytical expertise to high-priority projects within the broader Business Insights team. A bachelor's degree in Business, Economics, Statistics, Computer Science, or a related quantitative field. 5+ years of experience in business intelligence, data analytics, or a similar strategic role. Technical Skills: Advanced proficiency in SQL for complex data extraction and manipulation within a Snowflake data warehouse environment. Extensive experience creating compelling visualizations and dashboards using Tableau. Experience with Business Objects is a plus. Familiarity with statistical programming languages (e.g., R, Python) is a plus. Hands-on experience with dbt (Data Build Tool) is a plus. Analytical & Soft Skills: Exceptional cross-functional collaboration and project management skills, with a proven ability to coordinate work between multiple teams. Strong business acumen and the ability to translate ambiguous business questions into structured analytical plans. Excellent communication and presentation skills, with the ability to act as a trusted advisor to senior stakeholders. A natural curiosity and a passion for using data to drive tangible business impact. Equal Opportunity Employer/Protected Veterans/Individuals With Disabilities,

As an analytical builder with a passion for user engagement and system optimization, you will play a key role in designing and implementing gamification systems to enhance user experience on our platform. Your ability to understand user behavior and translate it into actionable insights will be crucial in creating engaging and delightful experiences for our users. Working closely with our engineering and data teams, you will drive initiatives focused on gamification, engagement, and growth. Your responsibilities will include designing and optimizing gamification systems to drive long-term user engagement, monitoring user engagement loops using data-driven insights, and collaborating with other teams to improve content discovery and user matching. You will also work on developing sophisticated user behavior models, maintaining internal dashboards and analytics tools, and architecting scalable technical solutions in collaboration with engineering teams. Additionally, you will be involved in defining and tracking complex metrics, building A/B testing frameworks, and analyzing system performance to identify optimization opportunities. The ideal candidate for this role is someone who excels at thinking at the system level, with a strong ability to distill user interactions and behaviors. You should have at least 3 years of product management experience with a focus on growth, engagement, or platform systems, exceptional analytical and mathematical skills, and proficiency in tools such as SQL and Python for data analysis. Experience in designing gamification mechanics, working with recommendation systems, and translating technical concepts into product requirements will be valuable. Strong problem-solving skills, a background in user psychology or game theory, and familiarity with analytics platforms are also desirable qualities for this position. Joining our team will provide you with the opportunity to work on cutting-edge AI and machine learning technologies applied to real-life consumer problems. You will be a core member of our founding team, shaping the future of human connections in the AI era. In addition to meaningful equity, we offer competitive compensation that recognizes your contributions to our product experience. If you are passionate about user engagement, system optimization, and the potential of AI in shaping the future, we invite you to join us on this exciting journey.,

As a Tableau Developer, you will be responsible for creating and managing dashboards, reports, and visualizations using Tableau Desktop and Tableau Server. With a total experience of 4-6 years and at least 3 years of relevant experience, you should have strong proficiency in publishing and scheduling reports on Tableau Server. Additionally, your expertise in SQL and Data Manipulation will be crucial, as you will be required to write complex SQL queries, including joins, subqueries, and window functions, and handle data extraction, transformation, and loading (ETL) processes. Hands-on experience with Snowflake for data warehousing and analytics is essential for this role. You should be able to integrate Snowflake with other data sources and tools, as well as have familiarity with data warehousing concepts like star and snowflake schemas, and experience in designing and implementing ETL workflows. Your analytical and problem-solving skills will be put to the test as you interpret complex data sets and derive actionable insights, troubleshoot data-related issues, and communicate effectively with non-technical stakeholders. It would be beneficial if you have a basic knowledge of Python for data analysis and automation, an understanding of statistical analysis and data modeling techniques, and experience with programming languages like Python or R for data analysis and visualization. Your responsibilities will include developing impactful visualizations using Tableau, utilizing advanced SQL techniques, working with different databases for data integration, writing custom SQL queries, troubleshooting and debugging data-related issues, translating business requirements into workable data models and visualizations, implementing best practices for Tableau report development, performing ad-hoc analysis, providing training and support to end-users, and staying updated with the latest Tableau features and data visualization trends. If you are looking to excel in a role that combines technical expertise with communication skills, problem-solving abilities, and a continuous learning mindset, this Tableau Developer position offers a challenging yet rewarding opportunity for you to make a significant impact within the organization.,

Are you ready to disrupt an industry and change lives As an Associate at GCC's Sampling Allocation Service in AstraZeneca, you will be responsible for developing and implementing analytical programs to optimize sampling distributions for branded products. This role is a blend of managerial and hands-on tasks, involving proactive collaboration with brand team members and overseeing the internal GCC Sampling team to ensure deliverables meet specific requirements. Your role will require working closely with brand teams to comprehend rules, requirements, and sampling strategies, utilizing your expertise across various commercial datasets to ensure accurate implementation. Your contributions will play a vital role in the sample ordering and distribution system, directly influencing the development of life-changing medicines. Location: Bangalore Experience: 3-6 years Notice period: Maximum 2 months (strictly) **Essential Skills/Experience:** - A quantitative Bachelor's degree from an accredited institution in fields like Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, or Data Science is mandatory. An advanced degree (Masters, MBA, or PhD) is preferred. - Minimum of 2 years of experience in Pharmaceutical/Biotech/Healthcare analytics or secondary data analysis. - At least 3 years of experience in applying advanced methods and statistical procedures on large and disparate datasets, with expertise in areas such as Data Mining, Predictive Modeling algorithms, Optimisation & Simulation. - Proficiency and recent experience (2+ years) in Python, R, SQL, and big data technologies. - Working knowledge of data visualization tools like PowerBI, VBA, or similar platforms. - Proficiency in MS Office products, including PowerApps, Excel, and PowerPoint. - Ability to manipulate and extract insights from extensive longitudinal data sources like Claims, EMR, and other patient-level datasets. - Expertise in managing and analyzing various large, secondary transactional databases. - Background in statistical analysis and modeling, with Machine Learning knowledge as a plus. - Familiarity with IQVIA datasets and sales-related data sets like targeting and alignment, HCP eligibility, and call data. - Experience in data visualization methods and tools for effective communication of insights derived from analyses. - Strong organization and time management skills. **Desirable Skills/Experience:** - Strong leadership and interpersonal skills, with a proven ability to collaborate effectively with business leaders and cross-functional partners. - Excellent communication and influencing abilities, capable of presenting concise and compelling reviews of independently developed analyses along with actionable insights to stakeholders. - Strategic and critical thinking skills, with the capability to engage, build credibility, and maintain relationships with the Commercial Leadership Team. - Exceptional organizational skills and time management, adept at handling multiple projects simultaneously.,

As a Business Analytics Analyst 2 at Citi within the Data Science and Modeling team of North America Consumer Bank, you will be responsible for analyzing millions of prospects and billions of customer level transactions using big data tools and machine learning techniques. Your main objective will be to unlock opportunities for clients, meet their financial needs, and create economic value for the bank. You will work closely with the AVP/VP leading the team to create client-centric analytic solutions to business problems. This will involve owning and delivering complex analytic projects, staying updated with the latest modeling techniques, and sharing knowledge within the team. Proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling is essential for this role. Your responsibilities will include working with large and complex datasets using tools like Python, PySpark, SQL, and R to build modeling solutions for various business requirements. You will focus on model building, validation, implementation, and governance for multiple portfolios. Collaboration with other team members and business partners to develop model-driven solutions will be a key part of your role. To be successful in this role, you should have a Bachelor's Degree with at least 3 years of experience in data analytics, a Master's Degree with 2 years of experience, or a PhD. Strong technical skills in PySpark/Python/R programming, along with experience in machine learning and statistical modeling techniques, are required. Understanding of deep learning techniques, experience with large datasets, data warehouses, and statistical analysis are also important. Additionally, you should possess excellent communication skills, stakeholder management abilities, analytical and problem-solving skills, and a control-oriented mindset. A background in a quantitative field, willingness to learn, and a can-do attitude are desired traits. Experience in Credit Cards and Retail Banking is preferred. If you are a bright and talented individual looking to pursue a career in Analytics & Information Management at Citi, this role offers amazing opportunities for growth and development. A Bachelor's or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, or Engineering from a premier institute is required. This is a full-time position in the Credit Cards, Retail Banking, Financial Services, Banking industry. If you are a person with a disability and require accommodation to use the search tools or apply for this position, please review the Accessibility at Citi policy.,

The position of S&C Global Network - AI - T&O - Human Capital Analytics Analyst located in Kolkata, KDC1A falls under Management Level 11. The primary skill required for this role is Human Capital Analytics, with additional skills in leveraging design thinking, business process optimization, and stakeholder management being beneficial. As a Human Capital Analytics Analyst, you will be responsible for driving strategic initiatives, managing business transformations, and utilizing industry expertise to develop value-driven solutions. Your role will involve providing strategic advisory services, conducting market research, and offering data-driven recommendations to enhance business performance. Joining the Data & AI practice at S&C GN, you will collaborate with a global network of skilled professionals experienced in leading statistical tools and applications. Your responsibilities will include developing advanced statistical models for HR Analytics solutions, utilizing Python programming for efficient model creation, and leveraging ML and Data Science skills like Deep learning, TensorFlow, and Time Series Forecasting. Furthermore, you will be expected to architect scalable dashboards, communicate analytical insights effectively, and maintain strong client relationships. Your role will also involve collaborating with diverse teams, adapting within an agile environment, and utilizing mathematical concepts and industry knowledge to resolve complex issues creatively. The ideal candidate for this position should hold a Master's degree in Economics, Statistics, Mathematics, or Engineering, with at least 5+ years of experience in the Analytics domain and 2-3 years in People/Human analytics. Strong problem-solving skills, communication abilities, and leadership experience are essential, along with knowledge of predictive analytics, machine learning, or statistical modeling. Additional skills in PySpark/PyTorch framework, Data Governance, Cloud Integrations, and Change Management are appreciated. Experience with HTML 5/js, Optimization Theory, and People Analytics Consulting is considered a bonus. This role offers an opportunity to work on innovative projects, with potential for career growth and leadership exposure within Accenture.,

As a Staff Data Scientist at Uber Eats, you will play a crucial role in enhancing the search experience for millions of users worldwide. Your deep statistical expertise will drive decision-making, improve product performance, and ensure that our evaluations and insights are based on methodological rigor. Your responsibilities will include conducting robust statistical analyses on complex datasets to identify product opportunities, shape roadmap priorities, and optimize user experiences in search. You will design and evaluate A/B tests and quasi-experiments, applying best practices in experimental methodology to ensure high-quality, unbiased insights. Building and maintaining statistical frameworks for defining and measuring ground truth will be a key aspect of your role, to identify reliable signals for evaluating search relevance, personalization, and user satisfaction. You will apply advanced sampling strategies to construct representative datasets for both offline and online evaluation pipelines, ensuring scalability and statistical power. Developing rigorous evaluation metrics that reflect real-world product performance and align closely with user and business goals will be essential. Additionally, you will lead initiatives to enhance causal inference practices across the team, applying methods like matching, regression discontinuity, and difference-in-differences where appropriate. Collaborating with product managers, engineers, and other scientists, you will translate open-ended product questions into structured analytical approaches. Providing mentorship and technical leadership to other scientists, you will promote a culture of statistical excellence and continuous learning within the team. To excel in this role, you should have an M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Operations Research, Computer Science, or a related quantitative field. With 10+ years of industry experience in data science or applied analytics, ideally in consumer products, search, or recommendation systems, you should possess deep expertise in ground truth design and evaluation methodologies for complex user-facing systems. Your proven experience with statistical sampling techniques, offline evaluation pipelines, experimentation design, causal inference, and observational data analysis will be valuable. Proficiency in tools like SQL, Python, and R for data manipulation, modeling, and visualization is required. Excellent communication skills are essential, as you will need to present statistical findings clearly and influence product and engineering decisions through data. Having a strong product sense and the ability to balance analytical rigor with practical business impact will be advantageous in this role.,

As a MERN Stack Developer with TypeScript, you will be responsible for designing, developing, and maintaining web applications using the MERN (MongoDB, Express.js, React.js, Node.js) stack. You will work closely with our product and design teams to create scalable and efficient applications, ensuring high performance and responsiveness to requests from the front end. Key Responsibilities - Develop and maintain web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js) with TypeScript. - Collaborate with the product team to understand requirements and translate them into technical specifications. - Design and implement RESTful APIs and ensure seamless integration with front-end components. - Write clean, maintainable, and well-documented code. - Optimize applications for maximum speed and scalability. - Troubleshoot and debug applications to ensure optimal performance. - Participate in code reviews and provide constructive feedback to peers. - Stay updated with emerging trends and technologies in web development. Nice To Have - Experience working with weaviate or any other vector database. - Experience working with LLM models like OpenAI GPT, Anthropic's Claude. Job Types: Full-time, Permanent Benefits - Paid sick time Location Type: - In-person Schedule - Day shift Education - Bachelor's (Preferred) Experience - Total work: 2 years (Required) Work Location: In person,

You will be responsible for functioning as a Study Director for general toxicology studies, including acute, repeated dose toxicity studies, and PK studies. Additionally, you will function as a Study Personnel for general toxicology studies led by other Study Directors. Your duties will involve the preparation of study plans, study plan amendments, deviations, study reports, SOPs, and their review. Furthermore, you will be tasked with maintaining the in vivo laboratory and providing assistance in departmental activities as required. In order to enhance the capabilities of the team, you will be required to perform validation of new studies. Your role will also include the compilation, verification, and statistical analysis of study data. You will be accountable for the procurement, handling, storage, and disposal of chemicals/items related to general toxicity studies. Additionally, you will be responsible for operating and maintaining laboratory equipment used in non-clinical safety studies. It will be essential for you to collaborate with the Quality Assurance (QA) team for GLP studies and ensure facility compliance.,

As an AI Computer Vision Engineer with 4+ years of experience, you will be responsible for developing and training computer vision models for various tasks such as object detection, image classification, and face recognition. You will optimize models for performance on edge devices and apply data augmentation techniques to image/video datasets. Additionally, you will need proficiency in Large Language Models and a strong understanding of statistical analysis and machine learning algorithms. Your role will involve hands-on implementation of machine learning algorithms like linear regression, logistic regression, decision trees, and clustering algorithms. Understanding image processing concepts and experience in model optimization, quantization, or deploying to edge devices will be essential. You should have strong programming skills in Python (or C++) and expertise in implementing and optimizing machine learning pipelines for seamless integration into production systems. Experience with real-time computer vision applications, OpenCV, NumPy, PyTorch/TensorFlow, and computer vision models like YOLOv5, Mask R-CNN will be beneficial. Engaging with multiple teams, contributing to key decisions, and providing solutions that apply across multiple teams are expected from you. You will lead the implementation of large language models in AI applications and research cutting-edge AI techniques to enhance system performance. Contribution to the development and deployment of AI solutions across various domains is also part of your responsibilities. In terms of requirements, you should design, develop, and deploy ML models for OCR-based text extraction, table and line-item detection, and named entity recognition. Evaluating and integrating third-party OCR tools, developing pre-processing and post-processing pipelines for image/text data, and familiarity with video analytics platforms are necessary skills. Experience with MLOps tools, academic CV research, and knowledge of GPU acceleration or hardware integration will be advantageous for this role.,

Are you passionate about the intersection of data, technology, and science, and excited by the potential of Real-World Data (RWD) and AI Do you thrive in collaborative environments and aspire to contribute to the discovery of groundbreaking medical insights If so, join the data42 team at Novartis! At Novartis, we reimagine medicine by leveraging state-of-the-art analytics and our extensive internal and external data resources. Our data42 platform grants access to high-quality, multi-modal preclinical and clinical data, along with RWD, creating the optimal environment for developing advanced AI/ML models and generating health insights. Our global team of data scientists and engineers utilizes this platform to uncover novel insights and guide drug development decisions. As an RWD SME / RWE Execution Data Scientist, you will focus on executing innovative methodologies and AI models to mine RWD on the data42 platform. You will be the go-to authority for leveraging diverse RWD modalities patterns crucial to understanding patient populations, biomarkers, and drug targets, accelerating the development of life-changing medicines. Duties and Responsibilities: - Collaborate with R&D stakeholders to co-create and implement innovative, repeatable, scalable, and automatable data and technology solutions in line with data42 strategy. - Be a data SME, understand RWD of different modalities, vocabularies (LOINC, ICD, HCPCS, etc.), non-traditional RWD (Patient reported outcomes, Wearables and Mobile Health Data) and where and how they can be used, including in conjunction with clinical data, omics data, pre-clinical data, and commercial data. - Contribute to data strategy implementation such as Federated Learning, tokenization, data quality frameworks, regulatory requirements (submission data to HL7 FHIR formats conversion, Sentinel initiative), conversion to common data models and standards (OMOP, FHIR, SEND, etc.), FAIR principles, and integration with enterprise catalog. - Define and execute advanced integrated and scalable analytical approaches and research methodologies (including industry trends) in support of exploratory and regulatory using AI models for RWD analysis across the Research Development Commercial continuum by facilitating research questions. - Stay current with emerging applications and trends, driving the development of advanced analytic capabilities for data42 across the Real-world evidence generation lifecycle, from ideation to study design and execution. - Demonstrate high agility working across various cross-located and cross-functional associates across business domains (commercial, Development, Biomedical Research) or Therapeutic area divisions for our priority disease areas to execute complex and critical business problems with quantified business impact/ROI. - Draft and edit high-level research documents (proposals, protocols, statistical analysis plans). Ideal Candidate Profile: - PhD or MSc. in a quantitative discipline (e.g., but not restricted to Computer Science, Physics, Statistics, Epidemiology) with proven expertise in AI/ML. - 8+ years of relevant experience in Data Science (or 4+ years post-qualification in case of PhD). - Extensive experience in Statistical and Machine Learning techniques: Regression, Classification, Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining, and Natural Language Processing, LLMs, and multi-modal Generative AI. - Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Optimization techniques including, Dynamic Programming Deep Learning techniques on structured and unstructured data, Recommender Systems. - Proficiency in tools and packages: Python, R(optional), SQL; exposure to dashboard or web-app building using PowerBI, R-Shiny, Flask, open source or proprietary software and packages is an advantage. - Knowledge in data standards e.g. OHDSI OMOP, and other data standards, FHIR HL7 for regulatory, and best practices. - Good to have: Foundry, big data programming, working knowledge of executing data science on AWS, DataBricks, SnowFlake. - Strong in Matrix collaboration environments with good communication and collaboration skills with country/ regional/ global stakeholders in an individual contributor capacity. - High learning agility and adherence to updates in industry and area of work. - Optional Experience in Biomedical Research and development in pharma is a bonus. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting, and inspiring each other. Combining to achieve breakthroughs that change patients" lives. Ready to create a brighter future together Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Benefits and Rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally. Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.,

As a Specialist, Research at WorldatWork, you will play a crucial role in supporting our research efforts by managing surveys, conducting data analysis, and contributing to various research projects. With a strong technical skill set and the ability to work independently, you will help translate data into valuable insights that inform business decisions and advance the Total Rewards profession. Your primary responsibilities will include independently programming and managing surveys using platforms like Qualtrics or Voxco, ensuring accurate data collection, and resolving technical issues that may arise during fieldwork. You will also be responsible for data cleaning and preparation, performing basic data analysis, and conducting market research studies by analyzing both primary and secondary data sources. Collaboration is key in this role, as you will work closely with the research team to develop reports, presentations, and dashboards. You will contribute to narrative development, create data visualizations, and ensure the accuracy and quality of research outputs before submitting them for review by senior team members. To excel in this role, you should hold a Bachelor's or Master's degree in a related field such as Industrial/Organizational Psychology, Social Psychology, Statistics, Business Analytics, Market Research, or another quantitative social science field. Additionally, you should have at least 2 years of professional-level experience in research, data analytics, or market research, with a strong background in survey programming, data analysis, and market research methodologies. Your proficiency in survey programming tools, data analysis software, and market research techniques will be essential in this role. Strong organizational skills, effective communication, and the ability to work both independently and collaboratively with cross-functional teams will also be critical to your success. If you have experience in data visualization, dashboard creation, SQL database queries, or qualitative data analysis, it will be considered a plus. Familiarity with Total Rewards programs, workplace research, human resources topics, and user experience research principles will also be beneficial in this role. Join us at WorldatWork and be part of a dynamic team that is dedicated to advancing the field of Total Rewards through research, data analysis, and market insights.,

Are you passionate about the intersection of data, technology, and science, and excited by the potential of Real-World Data (RWD) and AI Do you thrive in collaborative environments and aspire to contribute to the discovery of groundbreaking medical insights If so, join the data42 team at Novartis! At Novartis, we reimagine medicine by leveraging state-of-the-art analytics and our extensive internal and external data resources. Our data42 platform grants access to high-quality, multi-modal preclinical and clinical data, along with RWD, creating the optimal environment for developing advanced AI/ML models and generating health insights. Our global team of data scientists and engineers utilizes this platform to uncover novel insights and guide drug development decisions. As an RWD SME / RWE Execution Data Scientist, you will focus on executing innovative methodologies and AI models to mine RWD on the data42 platform. You will be the go-to authority for leveraging diverse RWD modalities patterns crucial to understanding patient populations, biomarkers, and drug targets, accelerating the development of life-changing medicines. Duties and Responsibilities: - Collaborate with R&D stakeholders to co-create and implement innovative, repeatable, scalable, and automatable data and technology solutions in line with the data42 strategy. - Be a data subject matter expert (SME), understand RWD of different modalities, vocabularies (LOINC, ICD, HCPCS, etc.), non-traditional RWD (Patient reported outcomes, Wearables and Mobile Health Data) and where and how they can be used. - Contribute to data strategy implementation such as Federated Learning, tokenization, data quality frameworks, regulatory requirements, conversion to common data models and standards, FAIR principles, and integration with enterprise catalog. - Define and execute advanced integrated and scalable analytical approaches and research methodologies using AI models for RWD analysis across the Research Development Commercial continuum. - Stay current with emerging applications and trends, driving the development of advanced analytic capabilities for data42 across the Real-world evidence generation lifecycle. - Demonstrate high agility working across various cross-located and cross-functional associates across business domains for priority disease areas to execute complex and critical business problems with quantified business impact. Ideal Candidate Profile: - PhD or MSc. in a quantitative discipline with proven expertise in AI/ML. - 8+ years of relevant experience in Data Science. - Extensive experience in Statistical and Machine Learning techniques. - Proficiency in tools and packages like Python, SQL, and exposure to dashboard or web-app building. - Knowledge in data standards e.g. OHDSI OMOP, FHIR HL7, and other data standards. - Strong collaboration skills with stakeholders in an individual contributor capacity. - High learning agility and adherence to updates in the industry and area of work. - Optional experience in Biomedical Research and development in pharma is a bonus. Join our Novartis Network: Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up. Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If you need accommodation, please send an e-mail to [email protected] and let us know your request and contact information. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.,

As a Senior Data Scientist with our fast-growing team, you should possess a total of 7-8 years of experience, with a specific focus on 3-5 years in Machine & Deep Machine learning. Your expertise should include working with Convolution Neural Network (CNN), Image Analytics, TensorFlow, Open CV, among others. Your primary responsibilities will revolve around designing and developing highly scalable machine learning solutions that have a significant impact on various aspects of our business. You will play a crucial role in creating Neural Network solutions, particularly Convolution Neural Networks, and ML solutions based on our architecture supported by big data, cloud technology, micro-service architecture, and high-performing compute infrastructure. Your daily tasks will involve contributing to all stages of algorithm development, from ideation to design, prototyping, and production implementation. To excel in this role, you should have a solid foundation in software engineering and data science, along with a deep understanding of machine learning algorithms, statistical analysis tools, and distributed systems. Experience in developing machine learning applications, familiarity with various machine learning APIs, tools, and open source libraries, as well as proficiency in coding, data structures, predictive modeling, and big data concepts are essential. Additionally, expertise in designing full-stack ML solutions in a distributed compute environment is crucial. Proficiency in Python, Tensor Flow, Keras, Sci-kit, pandas, NumPy, AZURE, AWS GPU is required. Strong communication skills to effectively collaborate with various levels of the organization are also necessary. If you are a Junior Data Scientist looking to join our team, you should have 2-4 years of experience and hands-on experience in Deep Learning, Computer Vision, Image Processing, and related skills. We are seeking self-motivated individuals who are eager to tackle challenges in the realm of AI predictive image analytics and machine learning.,

We are looking for a talented Lead Data Scientist to join our Finance Analytics team. Your main responsibility will be to analyze financial data in order to derive insights, detect patterns, and propose automation opportunities within our finance and accounting departments. By leveraging your expertise in data engineering and advanced analytics, you will be transforming raw financial data into valuable insights. Collaborating with finance teams is crucial as you work towards understanding business requirements. Your key responsibilities will include: - Applying advanced analytics techniques to extract insights from financial datasets - Building and optimizing data pipelines using Python, Spark, and SQL for data preparation - Developing and implementing machine learning models to identify patterns and automation opportunities - Creating interactive dashboards and visualizations using BI tools to effectively communicate insights - Collaborating with finance teams to translate their data needs into analytical solutions - Identifying and tracking relevant metrics for meaningful business intelligence - Supporting data-driven decision making by presenting clear findings - Conducting exploratory data analysis to uncover trends in financial data - Mentoring junior data scientists on analytical techniques - Implementing statistical analysis methods for validating findings and ensuring data quality - Documenting methodologies, processes, and results for reproducibility and knowledge sharing We are looking for someone with: - 5-7 years of experience in data science or analytics, preferably with financial or business data exposure - Strong technical background in data engineering and pipeline development - Advanced proficiency in Python and experience with Spark for large-scale data processing - Experience working with data from Snowflake Data Lake or similar cloud-based data platforms - Demonstrated skill in building dashboards and visualizations using BI tools - Proficiency in SQL for data extraction and manipulation - Experience applying machine learning algorithms to solve business problems - Ability to communicate technical concepts to non-technical stakeholders - Understanding of basic financial concepts and metrics - Strong problem-solving skills and attention to detail - Bachelor's degree in computer science, Data Science, Statistics, or related technical field Desired additional qualifications include: - Experience working in cross-functional teams in fast-paced environments - Familiarity with agile methodologies and collaborative development practices - Experience with version control systems and collaborative coding - Knowledge of cloud computing platforms - Understanding of data governance and data quality best practices - Continuous learning mindset and staying updated with emerging data science technologies If you are interested in exploring this opportunity, please submit your CV and a cover letter explaining why you believe you are a perfect fit for this role. We will be reviewing applications during the application period and filling the vacancy once a suitable candidate is identified.,

The role of Vice President-Credit and Overseas Audit involves leading a team to conduct comprehensive credit audits for corporate banking units and overseas branches. As the VP, you will be responsible for ensuring adherence to audit plans, leveraging data analytics for audit efficiency, and maintaining high-quality reporting. Your duties will include coordinating with auditors, reviewing processes, and implementing corrective actions based on audit findings. Key Responsibilities: - Leading a team and conducting credit audits for Corporate Bank Units and Overseas Branches - Managing concurrent audits for these units - Planning audits and conducting risk assessments for the Credit and Overseas Units - Utilizing data analytics to enhance audit efficiency - Ensuring timely commencement and closure of audits as per the audit plan - Preparing and submitting audit reports/synopsis within stipulated time frames - Upholding the quality of audit reports and ensuring correctness and consistency of data - Emphasizing on policies, internal guidelines, processes, practices, revenue assurance, and risk coverage - Performing other assignments such as process reviews, thematic audits, checklists, special audits, and investigations as needed - Coordinating with concurrent auditors and internal auditors for effective monitoring - Aggregating common findings and providing recommendations for corrective actions Role Proficiencies: - Profound knowledge of Credit Functions Policies, internal guidelines, processes, practices, people, revenue assurance, and risk coverage - Ability to conduct assignments like process reviews, thematic audits, checklists, special audits, and investigations - Demonstrated capability in ensuring timely commencement and closure of audits - Strong communication skills (both verbal and written) and interpersonal abilities - Proficiency in techno-functional skills, excel, database management, financial and statistical analysis - Skilled in managing risk and uncertainty for self and the team in a dynamic environment - Capability to prioritize tasks and make decisions in a fast-paced setting - Team player with the ability to contribute towards team goals - Competence in managing multiple tasks/projects and deadlines concurrently Location: Mumbai Email resume to: chithra@novotreeminds.com,

The Site Quality Leader for the Fuel systems plant is responsible for creating value by leading and developing a high-performing team, overseeing day-to-day quality operations, and supporting key initiatives to help the site and broader business unit achieve strategic goals. It is crucial for this leader to maintain quality systems, consistently meet customer expectations, and integrate continuous improvement principles across all site operations. Key Responsibilities: - Implement and maintain the plant's quality system in alignment with Cummins Operating System (COS). - Manage the Quality team, operational objectives, and deliverables, including Annual Operating Plan (AOP) targets. - Develop, implement, and monitor quality assurance methods to support plant operations. - Ensure compliance with internal and external standards such as IATF, APQP, PPAP, and customer-specific requirements. - Drive continuous improvement initiatives like Lean Manufacturing, 7-Step Problem Solving, and Quality 4.0 tools. - Monitor quality metrics and improvement projects related to Right First Time (RFT) and Product Quality Council outcomes. - Conduct quality assessments, audits, and post-event reviews to ensure sustained performance and compliance. - Lead Quality Engineers and Metrology teams to enhance inspection, calibration, and quality planning. - Align quality strategy with emerging technologies and digitization initiatives. - Advocate for quality priorities in cross-functional decision-making. - Identify opportunities for improvement in products and processes to support greenhouse gas reduction and environmental sustainability efforts. Skills and Experience Needed: - 15+ years of relevant experience in Quality function, with significant experience in Fuel systems within the automotive or similarly regulated industry. - Minimum 5+ years of people management experience. - Proficiency in APQP, PPAP, FMEA, SPC, capability studies, and quality audits. - Strong problem-solving skills using the 7-step methodology and industry tools. - Experience in leading Six Sigma, Lean, and continuous improvement efforts. - Familiarity with digital quality systems and Quality 4.0 technologies. - Effective resource and project planning skills. Core Competencies: - Customer Focus - Develops Talent - Quality Influence - Values Differences - Quality Systems Management - Quality 4.0 Leadership - Project Resource Management - Statistical Analysis Qualifications: - Bachelor's degree in Engineering or a related technical/scientific field. - Demonstrated competence through significant quality and manufacturing experience. - May require licensing to comply with applicable export control regulations. Organization: Cummins Inc. Role Category: On-site Job Type: Exempt - Experienced ReqID: 2415951 Relocation Package: Yes,

The Transfer Pricing Function at Tata Communications is a crucial part of the Taxation function that oversees global transfer pricing compliance. This function involves identifying intercompany transactions and related parties, completing assessments, striving for certainty, and addressing any adjustments resulting from audits or assessments. As a member of this team, your role will be pivotal in ensuring 100% compliance with global transfer pricing regulations, while also introducing innovative strategies to minimize litigations, tax costs, and compliance burdens. Your responsibilities will include: - Ensuring zero non-compliance by promptly filing returns and notifications related to transfer pricing. - Providing timely responses to notices from tax authorities. - Managing audits, assessments, and appeals worldwide. - Securing certainty on intercompany transactions through Advance Pricing Agreements (APAs) or other strategic initiatives. - Participating in internal audits, transaction compliance reviews, and transformation initiatives like ERP modifications and process improvements. - Offering transactional support for M&A transactions and intercompany transactions. To qualify for this position, we seek a dynamic individual with a customer-centric and solution-oriented mindset, possessing in-depth knowledge of Taxation, ERP systems, and an understanding of global tax trends. The ideal candidate will be a Chartered Accountant with 1-2 years of post-qualification experience, preferably in the field of international taxation, with exposure to transfer pricing and international taxation in the telecom industry being advantageous. Desired skill sets for this role include: - Proficiency in Excel at a mid-level. - Exposure to SAP. - Familiarity with finance and statistical analysis software. - Understanding of financial and accounting principles and expertise across finance domains. Join Tata Communications" Transfer Pricing team and contribute to shaping a compliant and efficient global tax environment.,

You are a detail-oriented and motivated Junior Data Analyst with 2-5 years of experience, seeking to join a multinational company's new office in Infopark, Kochi. As part of the analytics team, you will support decision-making in marketing, product development, and customer success, contributing to the growth and success of the Indian operations. Your responsibilities will include extracting, cleaning, and transforming data from various sources, creating reports and visualizations using tools like Excel, Power BI, and SQL, conducting statistical analysis to identify trends, collaborating with teams to understand business goals, documenting findings and processes clearly, and supporting ad-hoc data requests from stakeholders. To qualify for this role, you should have a Bachelor's degree in computer science, Statistics, Mathematics, or a related field, proficiency in SQL and Power BI, strong analytical and problem-solving skills, good communication skills, and attention to detail. Experience in subscription businesses or e-commerce is a plus. This is an exciting opportunity to work in a fast-paced, data-driven environment with real impact on growth, be part of a new chapter in a fast-growing multinational company, enjoy a competitive salary, excellent benefits, and hybrid work options, and work in Infopark, Kochi, surrounded by other top IT companies. If you are ready to contribute to a dynamic team and grow with the company, send your resume to careers@firstscreen.com or reach out for more details. Join us in this new journey and be part of something great!,

Appinventiv is a global product development and digital transformation agency that leverages cutting-edge technologies like Artificial Intelligence, Blockchain, Cloud, and Data Analytics to create AI-powered digital products and solutions. With a team of over 1,600 innovators across six global centers, Appinventiv has launched more than 3,000 products, transforming industries and enhancing user experiences. This is a full-time on-site role for a Junior Analyst located in Noida. You will be responsible for data analysis, preparing reports, and providing insights to support decision-making processes. Your day-to-day tasks will include collecting and analyzing large datasets, identifying trends and patterns, creating visualizations, and collaborating with various departments to ensure data accuracy and consistency. This role requires strong analytical skills and attention to detail to contribute effectively to the company's projects and objectives. To excel in this role, you should have proficiency in Data Analysis and Data Visualization tools, along with 1-3 years of experience in the field. Experience with Data Collection, Data Cleaning, and Data Preparation is essential, as well as strong skills in Statistical Analysis and Trend Analysis. Knowledge of Excel and SQL is necessary for this position. Additionally, excellent problem-solving and critical-thinking skills, strong written and verbal communication skills, and the ability to work collaboratively in a team environment are important qualities for this role. A Bachelor's degree in Data Science, Statistics, Economics, or a related field is required. Experience in the technology sector would be a plus for this position. If you meet the qualifications and are looking to join a dynamic team focused on leveraging technology to drive digital innovation, this role as a Junior Analyst at Appinventiv could be the next step in your career.,

The ideal candidate for the Data Scientist position at TransOrg Analytics should have a Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field. You should possess 3-5 years of relevant experience in data analysis or a related role, along with expertise in data pre-processing and manipulation using Python or SQL. Experience in statistical analysis and modeling techniques such as regression, classification, and clustering is essential. Candidates with experience in machine learning, deep learning frameworks, and libraries will be preferred. Proficiency in data processing tools and frameworks, as well as data visualization tools like Tableau or Power BI, is required. You should have a proven track record of managing data project delivery, meeting deadlines, managing stakeholder expectations, and producing clear deliverables. Strong problem-solving skills and attention to detail are crucial for this role, along with the ability to think critically and provide data-backed insights. Excellent communication skills, both verbal and written, are a must. Familiarity with Cloud Platforms like Azure, AWS, or GCP, and the ability to use them for developing, training, and testing deep learning models will be an added advantage. Knowledge of cloud-based data warehousing platforms, particularly Snowflake, is also beneficial. If you are passionate about leveraging data science to streamline, optimize, and accelerate businesses, and meet the above requirements, we invite you to join our team at TransOrg Analytics. Visit www.transorg.com to learn more about us and explore how you can contribute to our mission of providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC, and the Middle East.,