Top Data & Analytics Jobs

As a Data Science Intern, you will leverage your skills to develop data visualizations, build machine learning models, and collaborate with R&D teams to solve challenges in healthcare. You'll integrate machine learning into models and contribute to product development over a 10-12 week summer assignment.

The Senior Data Scientist will devise and implement processes, develop insights from analytics, and optimize user safety on Roblox's platform. Key responsibilities include creating data pipelines, running experiments, and building scalable models to enhance the Trust & Safety team's effectiveness.

The Senior Research Associate will support the development of analytical methods for biologic products, acquire and interpret data, document results, and collaborate with senior scientists. Responsibilities also include troubleshooting methods, authoring reports, and participating in group meetings.

The Data Scientist will develop advanced analytics projects for digital teams, provide forecasting and optimization models, and create self-service analytical tools. They will maintain and improve customer databases and educate end users on new tools.

As a Data Science Intern, you will conduct exploratory analysis, assist in developing data products, provide ETL support, and maintain documentation. The role involves working with the Marketing Analytics team to leverage data for informed marketing strategies in film.

As a Data Scientist/Senior Data Scientist in User Growth, you will analyze user engagement data, drive strategies for user retention, and develop forecasting frameworks using advanced statistical methods and causal inference techniques. Your role involves collaboration with cross-functional teams to provide actionable insights and enhance data tooling for user growth.

As a Data Science Consultant, you will analyze business problems and develop actionable Data Science roadmaps. The role involves communicating complex methodologies to non-technical audiences and collaborating on end-to-end solutions, including deploying models in cloud environments and building applications using GenAI and LLMs.

The Data Science Lead at Brillio will lead the development and deployment of Large Language Models within the AI ecosystem. Responsibilities include scaling LLM projects, optimizing prompt engineering, integrating LLMs with data pipelines on Databricks, and ensuring robust governance and monitoring of AI/ML models. The role also involves guiding junior data scientists and collaborating with cross-functional teams for successful project delivery.

The Data Science intern will support the Business Intelligence team by creating data models, optimizing existing models, and identifying data science opportunities. They will collaborate with business operations to provide actionable insights and enhance decision-making through data analysis.

The Staff Data Scientist will lead science projects from concept to deployment while working collaboratively with MLEs, program managers, and engineers. Responsibilities include creating model definitions, developing generative AI solutions, optimizing existing pipelines, and effectively communicating insights to stakeholders.

The VP of Data Engineering at Axios leads the data engineering functions, overseeing teams for Data Engineering, Data Science, and Data Analytics. Responsibilities include managing data architecture, strategy development, technical guidance, team roadmaps, and maintaining best practices across departments. This executive role collaborates with stakeholders, fosters an inclusive team environment, and supports the overall mission of delivering trustworthy news content.

The Lead Data Scientist will develop measurement frameworks and test hypotheses to support product and marketing teams. Responsibilities include long-term vision development for health span, managing large datasets, conducting statistical analyses, and collaborating cross-functionally to solve business challenges.

The Data Science Manager will lead a team to develop and deploy styling algorithms to enhance client experience at Stitch Fix. Responsibilities include shaping product strategy, collaborating with cross-functional teams, overseeing the algorithm development lifecycle, and implementing best practices.

As a Senior Data Scientist at JPMorgan Chase, you will develop machine learning use cases, transform data into insights, and collaborate with various teams to deploy solutions. Your role involves improving technology and supplying information for informed decision-making while working in a collaborative and innovative environment.

As a Data Scientist at General Motors, you will develop and deploy advanced statistical and machine-learning models to solve enterprise challenges. The role involves analyzing data to uncover trends, creating UI applications for insights, and ensuring model effectiveness throughout its lifecycle.

The Director of Data Science will build and lead a data science team, collaborating closely with engineering and platform teams to enhance decision-making engines. They will use advanced analytical methods to provide data-driven recommendations and guide strategic decisions across the company, while mentoring colleagues and promoting data science practices.

As a Data Scientist, you will develop complex models for object detection and analyze various data sets to support national security. You will work in a collaborative R&D environment, integrating data from diverse sources, training models, and providing insights to decision-makers.