Top Data & Analytics Jobs

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

The role involves collaborating to develop and refine large language models and generative models, utilizing expertise in machine learning and NLP.

Develop predictive models using data science and machine learning, work with data preparation and cloud resources, and solve complex problems.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

The Assistant Director for Graduate Studies in Data Science advises master's students, assists in admissions, teaches courses, and collaborates on curriculum development.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

The Marketing Data Scientist will apply advanced analytics and machine learning to drive marketing strategies, focusing on connecting digital engagement to physical outcomes. Responsibilities include experimentation, reporting, predictive modeling, and collaboration with stakeholders for business insights.

The BTS Process Analyst develops and maintains e-record management workflows and supports cross-functional collaboration and compliance within the Business Technology Solutions team.

Develop methods for optimizing AI applications, implement automated evaluation systems, and work with clients to adapt tools for various domains.

Evaluate and create AI-generated content in German. Review writing for factuality, completeness, and grammar while producing original content.

As a Principal Data Analyst, you'll leverage machine learning and AI to improve outcomes, manage large data sets, and guide analytics modelers for effective data solutions.

The Associate Data Scientist will conduct research, predictive modeling, and analytics to drive business results and enhance customer segmentation models.

The Quantitative Researcher will develop models for aluminum pricing, manage hedging strategies, and build data infrastructures while collaborating with supply chain and software teams.

The Data Product Manager - Curation designs and manages curated data products, overseeing data modeling, governance, and partnership with analytics teams to enhance data usability and support advanced analytics, including Machine Learning.

The Digital Product Owner will manage data visualization products, overseeing agile development, user research, and adoption strategies to enhance scientific productivity in drug discovery.

The Senior Product Manager will lead strategy and execution for data products within the Global Data & Analytics team, focusing on analytics, ML, and AI use cases while partnering with engineering and stakeholders to deliver scalable solutions.

The Director of Master Data Management will lead the MDM strategy and operations, focusing on Customer, Supplier, and Product domains. Responsibilities include modernization of data systems, overseeing AI integration, and managing a high-performing team.

The Quantitative Analyst will develop stock selection models, enhance research infrastructure, conduct statistical analysis, and collaborate with investment teams to provide insights.

As a Data Engineer, you will develop strategies, metrics, tools, and models to assess and optimize Starlink's customer acquisition, leveraging data insights to enhance business operations.

As an Analytics Engineer, you'll refine data, build models, enable self-service analytics, and collaborate with various teams to improve customer insights.

The Senior Manager of Data Insights will lead a team to optimize data sharing and governance, develop data strategies, and deliver actionable business intelligence across Docker's operations.

As a Sr. Data Analyst, you will gather requirements, manage projects, develop automation tools, create reports, and improve processes using data analytics and automation technologies.

Lead the delivery of advanced analytics and Marketing Mix Modeling for Immunology while integrating AI capabilities, managing vendor relationships, and collaborating with commercial teams.

The role involves leading catastrophe modeling across insurance operations, executing strategies for underwriting and pricing, integrating risk analytics, and fostering innovation with advanced technologies.

The Manager will develop analytics and AI tools to answer business strategy questions and support decision-making within the Product Development and Supply team at Bristol Myers Squibb.