Top Senior Data Science Jobs

The Data Scientist Assistant Vice President will manage data science projects, leveraging ML and analytical skills while collaborating with stakeholders and mentoring juniors.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

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.

The Senior Data Scientist will drive member growth initiatives, establish measurement frameworks, optimize acquisition economics, and conduct analyses. Responsibilities include building models, tracking KPIs, and working cross-functionally to influence growth strategies.

As a Principal Data Scientist, you'll leverage machine learning to derive insights from data, collaborate with teams, and enhance payment processes.

Lead Data Scientist partners with business leaders to identify opportunities, design, develop, and deploy advanced analytics and ML solutions. Responsibilities include data preparation, modeling, feature engineering, delivering insights and visualizations, establishing standards, and directing associate data scientists, contractors, and consultants to produce measurable business value.

Drive pricing and yield optimization at GoFundMe by applying economics, behavioral science, and machine learning. Lead experimentation, model decision-making, and translate insights into action, while ensuring high standards for modeling and collaboration with product teams.

As a Data Scientist on Codex, you will enhance AI developer tools by defining developer productivity, running experiments, and analyzing user metrics to guide product direction.

As a Data Scientist, you'll enhance OpenAI's API solutions by defining key metrics, measuring model impacts, and improving developer experiences through analytics and cross-functional collaboration.

As a Data Scientist on the Financial Engineering team, you'll enhance payment systems, monitor analytics, and increase conversion rates while analyzing data for insights and decision-making.

The Experienced Data Scientist will design, develop, and deploy models using statistical and machine learning techniques, conduct data analysis, and collaborate across teams to improve model performance and address business needs.

As a Data Scientist, you will leverage data exploration, analysis, and machine learning to provide insights and solutions for clients, using various data sources and tools to address complex challenges.

As a Senior Data Scientist, you will lead data science initiatives, analyze complex data sets, develop models, and provide insights to clients.

As a Senior Data Scientist, you'll analyze complex data, develop predictive models, and aid decision-making for clients using advanced analytical tools.

Design and implement data science solutions: ingest and clean data, build ETL pipelines, develop predictive models and algorithms, create visualizations, lead teammates, and deliver analytic products for intelligence and commercial clients while maintaining classified clearance requirements.

Responsible for designing and executing predictive modeling initiatives, mentoring junior data scientists, and communicating insights to business leaders. Collaborates with senior leadership, ensures data quality standards, and builds tools for modeling efficiency.

Analyze large, diverse datasets (claims, hazard, geospatial) and apply advanced data science, ML, and AI to model catastrophe, hazard, exposure, and man-made risks. Evaluate vendor models, develop internal risk views and tools, collaborate with domain experts, and support underwriting decision-making and account-specific risk analyses.

Partner with Brand Marketing and cross-functional teams to build end-to-end measurement frameworks, attribution and causal models, and dashboards that evaluate brand and channel impact. Apply statistical and ML techniques to audience targeting, creative effectiveness, and campaign measurement, and translate insights into strategic recommendations to optimize marketing spend and improve measurement infrastructure.

The Data Scientist will support intelligence operations by applying advanced analytics to complex datasets, develop models, and collaborate with teams to enhance mission delivery.

The Data Scientist will apply advanced machine learning techniques, lead and mentor junior data scientists, and develop innovative data solutions on cloud platforms.

Lead end-to-end data science projects: explore and prepare data, build and deploy statistical and machine learning models, design experiments, generate insights, produce reports/dashboards, mentor teammates, and communicate recommendations to stakeholders.

Lead design and execution of data science projects, partner with stakeholders to define solutions, manage data acquisition and quality, develop and deploy ML models (including deep learning and NLP), monitor model performance, present findings to executives, mentor team members, and influence data governance and best practices.

Build and deploy credit risk models for acquisition and account management. Create datasets and features from traditional and non-traditional sources, collaborate with credit, product, and engineering partners, run experiments, and monitor models in production to enable responsible lending decisions.

The Senior Data Scientist will leverage data insights to drive growth in lending, foster AI integration, and mentor colleagues while ensuring high-quality data reporting and visualization.

This role involves onboarding clients, solving scientific problems, guiding data analysis on the Tempus platform, and creating documentation. Requires expertise in biomedical datasets and programming.