Top Senior Data Science Jobs

The Data Scientist develops analytics capabilities and automates data capture to enhance engineering excellence, system efficiency, and maintain data quality.

As a Data Scientist, you will develop machine learning models, partner with cross-functional teams, and leverage technologies to provide insights from data for business applications.

The Data Scientist will innovate using ML technologies to analyze data, build models, and create scalable solutions while collaborating with cross-functional teams.

Lead client-facing data science engagements combining big data engineering, ML, and analytics. Build and audit datasets, develop predictive models, implement solutions on cloud platforms, run technical projects, mentor junior staff, and communicate technical strategies to clients.

As a Staff Data Scientist, you will lead the development and integration of AI/ML models for performance management, focusing on statistical analysis, data modeling, and collaboration with engineering teams.

As a Principal Associate in Data Science, you'll leverage technologies to build knowledge graphs, develop modeling algorithms, and collaborate with cross-functional teams to combat fraud in customer banking.

Partner with Growth, Marketing, Sales, and Product to measure and optimize marketing and growth initiatives. Build dashboards and scalable measurement frameworks, design experiments, analyze ROI and trends, provide actionable recommendations, and communicate results to technical and non-technical stakeholders.

Lead GTM-focused data science initiatives: build revenue forecasts, apply causal inference, develop AI-enabled sales and retention solutions, partner with Product/Growth/Commercial teams, and translate analyses into scalable, automated workflows and executive-ready recommendations.

Manage data science teams to deliver AI/ML solutions for financial crime detection, improve client operations, and uphold quality standards.

As a Senior Data Scientist, you'll partner with executives, leverage AI for insights, lead forecasting efforts, and mentor juniors in a high-impact data role.

Senior Data Scientist role developing ML and statistical models for ad tech: forecasting, optimization, exploratory analysis, AWS/Spark implementation, visualization, and cross-functional product support.

As a Senior Data Scientist, you will develop predictive models, conduct EDA, collaborate cross-functionally, and drive data-driven decisions.

Lead data-science work for matching features: translate product goals into data problems, design and analyze A/B tests, perform exploratory analysis and data mining, generate strategic insights, and collaborate with AI, product, design, and engineering to develop and iterate production ML models.

Design and implement data-driven BI solutions: clean and aggregate large datasets, build statistical models and ML prototypes, validate and productionalize algorithms, create dashboards, and communicate insights to stakeholders.

The Senior Data Scientist will implement and test ML models for international products, collaborating with cross-functional teams to drive insights and deploy solutions.

Lead advanced analytics and modeling to demonstrate clinical and economic value of women’s health products. Apply ML and causal inference to longitudinal healthcare data, design health economics models (cost-effectiveness, ROI), build reproducible pipelines (Python/R/SAS, Snowflake, SQL), and communicate insights to stakeholders while ensuring data stewardship and HIPAA compliance.

The Senior Data Scientist will collaborate with various teams to design data solutions, analyze data, and implement AI technologies in business processes, while ensuring compliance with architectural standards.

Lead product analytics for Spending, driving experimentation, causal measurement, metric frameworks, and dashboards. Partner cross-functionally to surface insights, guide product roadmaps, mentor on experimentation, and ensure analytics drive member engagement and retention.

Lead product-focused trust & safety analytics: design experiments, run causal measurement, build metric frameworks and dashboards, translate member behavior into product recommendations, and partner cross-functionally to drive adoption and impact.

Lead product-focused analytics and experimentation for Growth: design and analyze A/B tests, build metrics and dbt data pipelines, apply causal inference and ML, enable self-service analytics, improve funnels and retention, and translate insights into executive recommendations to drive member acquisition, conversion, and long-term value.

Perform data cleaning, preprocessing, integration, quality checks, and prepare data for visualization. Develop dashboards (Tableau/Power BI), create complex visualizations, and apply AI/ML models to analyze unstructured data. Maintain routine data quality checks and support data analytics workflows.

Senior data scientist/exploitation specialist to integrate emerging EO and SAR sensors into NGA Maven pipelines, perform quantitative analysis, build ETL and visualization tools, develop software for labeling campaign management and imagery curation, and support ML model development, partitioning, and evaluation to meet operational intelligence needs.

The Data Scientist will analyze large datasets using advanced statistical methods and programming to provide insights for strategic organizational decisions. Responsibilities include developing machine learning models, conducting experiments, and collaborating with Data Engineers.

The Data Scientist will create and deliver analytic processes and data solutions while coordinating with clients to address data-related issues. Responsibilities include designing data architecture, building ETL pipelines, integrating APIs, conducting impact analysis, and preprocessing geospatial data.

The Data Scientist will lead advanced analytics and drive decision-making through data engineering, modeling, and visualization, primarily supporting the Air Force's Intelligence mission.