Top Senior Data Science Jobs

As a Senior Data Scientist, you'll develop fraud detection models, perform detailed analyses, and work closely with teams to drive product innovation and business outcomes.

As a Senior Data Scientist, you will drive improvements in recommendations through collaboration with teams, strengthen algorithms, lead experimentation, and mentor others in analytics.

The Principal Data Scientist will enhance predictive models for healthcare quality management and operational efficiency, analyzing multiple data sources and applying AI and machine learning to improve outcomes.

The Senior Data Scientist develops AI/ML solutions, collaborates with engineers for data science projects, and stays updated on industry advancements.

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.

Lead the development of intelligent decision engines modeling customer intent in real-time using advanced data science techniques such as causal inference and machine learning. Collaborate with cross-functional teams to optimize systems for search, fulfillment, and customer experience.

Seeking a Senior Data Scientist to collaborate with Product and Engineering teams, develop data models and analytics frameworks, and influence product enhancements using SQL and Python.

As a Senior Data Scientist, you will build ML models for skill estimation and matchmaking, collaborate with teams to enhance player experiences, and drive decisions for game development. Responsibilities include dataset creation and enhancing data science practices.

Lead delivery of machine learning and statistical models for sales and marketing use cases: translate client problems, design approaches, build and evaluate models, manage complex analytical projects, and communicate results to stakeholders while mentoring junior team members.

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, collaborate with stakeholders, ensure data quality and best practices, mentor junior scientists, and apply experimentation and analytics to drive product decisions.

Responsible for measuring servicing and risk metrics, leveraging analytics to enhance customer experience, mentoring junior members, and ensuring data-driven decision-making in a big data environment.

As a Lead Data Scientist at Oliver Wyman, you will manage analytics projects, develop models, and engage with global clients to solve business challenges using advanced data science methodologies.

The role involves developing data analytics solutions, visualizations, and mentoring junior staff for intelligence community projects.

The Sr. Data Scientist leads risk strategy to reduce losses by developing data science models, collaborating with stakeholders, and ensuring data quality. Responsibilities include mentoring junior team members and driving best practices in data science.

As a Senior Data Scientist, you will architect data solutions, mentor team members, and lead advanced analytical methodologies to support intelligence operations.

The Senior Data Scientist will lead analytical projects, develop bespoke solutions for clients, manage teams, and present findings to drive client satisfaction and retention.

As a Lead Data Scientist, you'll develop ML models, mentor junior scientists, and provide insights from telemetry data to support strategic decisions.

The Sr Data Scientist, Risk will analyze fraud patterns, utilize machine learning techniques, develop models, and collaborate with teams to mitigate fraud in crypto trading.

The Senior Data Scientist will support U.S. government contracts by developing machine learning algorithms, conducting advanced data analysis, and leading a team of data scientists. Strong collaboration with software engineers and subject matter experts is essential to develop production analytics for mission-critical applications.

As a Senior Data Scientist at TRM, you'll develop models and algorithms to combat blockchain fraud, collaborate with teams, and create interactive visualizations to aid law enforcement. You'll leverage your analytical skills to understand complex data structures and contribute to improving financial security.

Conduct deep-dive analyses on large ad datasets to inform R&D, improve ML and bidding systems, detect/mitigate ad fraud, and define campaign health metrics and monitoring frameworks.

Design and build anonymized, aggregate products from large behavioral datasets to generate financial-market signals. Create proprietary indices, perform rigorous backtesting, implement anonymization, build scalable pipelines, deploy models in CI/CD, and collaborate with researchers and clients to validate product value.

Lead analytics for claim decisioning by framing ambiguous problems, building scalable data models and pipelines, designing metrics, and deploying analytical and ML solutions. Partner cross-functionally to measure decision quality, operational performance, and payment accuracy, iterating quickly to deliver measurable impact.

The Lead Data Scientist at FanDuel will develop and implement recommendation models for personalized user experiences, analyzing data to enhance customer engagement, leading projects, and mentoring team members.