Top Data Science Jobs

Lead analytic approaches to extract meaning from large, messy NSA/CSS datasets. Design and implement ML and statistical models, manage/curate data, translate mission needs into technical requirements, and communicate results to non-technical stakeholders.

As a Staff Data Scientist, you will lead initiatives to build and optimize machine learning models, collaborate across departments, and solve complex business problems using data.

The Data Scientist role involves designing and deploying machine learning systems, prototyping AI agents, collaborating with product teams, and addressing business problems. Responsibilities include model building, data analysis, client collaboration, and contributing to AI tooling.

The Senior ML Data Scientist will develop machine learning models to detect fraud, manage the data science lifecycle, and collaborate with teams on strategies.

As a Mid Data Scientist, you will analyze complex data sets, develop algorithms, apply machine learning methods, and provide insights to clients across various sectors.

As a Data Scientist, you'll analyze complex datasets to provide insights for global challenges using AI and machine learning. You'll work directly with clients, developing predictive models and visualizations to support decision-making.

Lead and execute complex analyses of large-scale health care claims, build data pipelines and analytic infrastructure, ensure data quality and reproducibility, manage projects and timelines, mentor junior staff, and translate results into policy-relevant insights.

Lead experimentation and causal inference efforts: design, run, and analyze A/B tests; establish methodological standards; support cross-functional analytics escalations; produce research and benchmarks; enable predictive and segmentation modeling; and deliver fast, actionable analytics for product, marketing, and operations stakeholders.

Design and implement data science solutions to improve interoperability of structured and unstructured data. Build models, ontologies, and scalable data integrations; perform EDA and anomaly detection; partner with technical and operational teams to deliver mission-focused analytics and advise clients.

Lead end-to-end data projects: ingest and clean unstructured data, build predictive models, design experiments, create dashboards, operationalize ML with Product/Engineering, and improve data quality and governance.

The Senior Data Scientist will develop and deploy machine learning models for yield optimization, pricing, and inventory allocation in programmatic advertising. Responsibilities include building data pipelines, real-time inference systems, conducting experiments, and collaborating with product and engineering teams to enhance marketplace performance.

The Senior Data Scientist will design and deploy ML models for yield optimization and inventory allocation in programmatic advertising, build data pipelines, and monitor performance for effective marketplace balance.

Lead development and deployment of advanced data science models to analyze partner-specific chargeback and risk performance for PayPal World. Collaborate with stakeholders, ensure data quality, drive best practices, mentor junior data scientists, and support performance discussions and remedial actions to manage wallet risk.

Lead development and implementation of advanced data science models to manage fraud risk across payments. Collaborate with stakeholders, ensure data quality, monitor portfolio health, mentor junior scientists, and present insights to senior leaders to drive mitigation strategies and optimize fraud outcomes.

Lead a team of data scientists to build and automate financial and economic analyses, produce dashboards and risk reports, clean and model bank data, develop surveillance and risk models, brief senior leadership, and ensure compliance with supervisory standards while monitoring industry and regulatory developments.

Develop and maintain predictive models and data pipelines for player evaluation, acquisition, development, and performance optimization. Communicate findings via reports and visualizations, collaborate with Baseball Systems to integrate analytics, drive applied research, and introduce novel methodologies to improve Baseball Operations decision-making.

Own end-to-end data science for a priority vertical (starting with Insurance): frame business problems, build and validate models, partner with ML engineering for deployment, monitor live ROAS performance, and drive measurable revenue and lead quality improvements.

As a Senior Data Scientist, you will extract insights from pharmaceutical data, develop AI solutions, partner with stakeholders, and translate findings into actionable recommendations.

Lead the technical strategy for search and recommendation systems, develop models, and improve business outcomes through data science expertise.

As a Senior Data Scientist in Monetization, you'll lead data product development, conduct strategic analysis, build models, track success metrics, and mentor junior data scientists.

The Lead Data Scientist leads data science initiatives to enhance decision-making and systems development, managing complex models and enterprise operations, while building client relationships and integrating best practices.

Lead the development and improvement of data science models, provide technical mentorship, and optimize data extraction workflows for educational outcomes.

The Senior Data Scientist will develop predictive models using machine learning, optimize solutions, utilize cloud resources, and analyze data to drive business strategy.

The Senior Data Scientist will develop predictive models using machine learning and statistical techniques, focusing on cost predictions from 3D data.

Lead the development of appraisal and pricing capabilities using data science to automate valuation decisions. Collaborate across teams for insights into pricing and operational strategies.