Top Data Science Jobs

This Data Scientist role involves analyzing subscriber behavior, designing experiments, building dashboards, and collaborating with cross-functional teams to drive growth in Spotify's subscription offerings.

Lead design and deployment of graph ML and network-biology analyses to generate drug target hypotheses from RWD and multi-omic data. Prototype methods, integrate solutions with engineers, prioritize tasks, and communicate results to cross-functional stakeholders while championing data science best practices.

The Lead Data Scientist will manage projects on credit risk and business intelligence analytics, leveraging statistical models to provide insights for financial services clients. Responsibilities include developing solutions, leading client engagements, and mentoring junior staff.

The Senior Data Scientist will develop analytic solutions for fraud prevention, lead analytic client engagements, and communicate strategies across various industries, predominantly in financial services.

As a Sr. Data Scientist, you will lead complex initiatives in machine learning, mentor team members, drive technical roadmaps, and enhance code quality while solving challenging technical problems.

Conduct data science research on experimental methodologies and causal modeling, develop tools to analyze experimental data, prototype improvements to platform features, and communicate results to internal teams and external stakeholders to drive product and research decisions.

Conduct data science research advancing experimental and causal methodologies; develop robust tools and prototypes to analyze experimental data; improve core platform features; and communicate findings to internal teams and external stakeholders to drive insights and product improvements.

The Data Scientist will build and scale biological knowledge graphs, harmonize biological datasets, define schemas, and create user interaction tools while collaborating with scientific teams.

The Mid-Level Data Scientist will provide automation support, integrate GEOINT data, streamline workflows, and assist in developing data management practices for various programs.

As a Staff Data Scientist, you'll drive data-driven insights, mentor junior staff, and integrate data science tools with engineering teams. You'll lead critical projects and represent data science in various settings.

The Staff Data Scientist will design and build scalable machine learning systems, lead complex modeling projects, and synthesize diverse datasets to deliver predictive models for clients.

The Data Scientist will design training programs, mentor data scientists, establish coding best practices, and collaborate with stakeholders to improve tools and methodologies.

The Data Scientist III will deliver high-value analytics projects, implement client solutions using ML and advanced statistics, and construct complex models for healthcare data.

The Data Scientist will develop and deploy analytics solutions, collaborate with teams on AI/ML models, extract insights, and communicate results effectively.

The Data Scientist will lead efforts in measuring safety impacts of AI products, implement statistical methods, and create metrics and dashboards, collaborating with cross-functional teams.

The Data Scientist will design and implement machine learning algorithms for enterprise applications, collaborate with federal customers, and contribute to the C3 AI Suite's features.

The candidate will analyze complex data to inform business decisions, design customer models, utilize machine learning tools, and collaborate across departments.

The role involves developing data solutions, collaborating with customers, and applying rigorous data science to affect business outcomes. Responsibilities include designing and deploying data solutions, conducting experiments, and influencing product strategy.

As a Data Scientist I, you will develop casualty catastrophe models, conduct statistical analyses, translate research into scalable solutions, and communicate findings effectively.

The Principal AI & Data Scientist will architect enterprise AI solutions, lead innovation in healthcare AI, influence technology decisions, and build partnerships to enhance organizational capabilities. They will leverage advanced AI methods to solve complex healthcare challenges and establish standards for technical excellence.

As a Data Scientist in the Analytical Capabilities team, you will leverage advanced analytics and mathematical approaches to build tools, analyze data, develop solutions, and communicate results to enhance customer decision-making in consumer lending.

The Data Scientist role involves developing analytical solutions for enterprise decision-making, focusing on pricing, customer behavior, and commercial strategy, using machine learning and AI techniques.

The Data Scientist will provide data analysis and support federal investigations involving fraud and corruption, using advanced analytics techniques and various software tools.

The role involves analyzing user behavior to prevent account sharing, developing predictive models, collaborating with teams, and ensuring data privacy compliance.

The Data Scientist will support AI governance and risk management, develop machine learning solutions, and utilize data science techniques to evaluate risks in AI systems, while collaborating cross-functionally and maintaining scalable AI solutions.