Top Senior Data Science Jobs

Lead Fraud Data Scientist to define ML strategy, build and productionize fraud detection models (including lending fraud), run advanced analyses and A/B tests, mentor the team, integrate ML with rule engines, and create dashboards to monitor fraud KPIs and model performance.

As a Data Scientist, you will analyze complex data sets, build machine learning models, and work in a team to provide solutions, ensuring data security and optimization.

Lead and grow the data science team; plan and direct ML projects; design, implement, validate, monitor, and improve ML and DL models (including LLMs) for transaction classification, temporal analysis and risk modeling; productionize scalable solutions using MLOps best practices; present findings to stakeholders and propose innovative solutions.

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

Lead data science initiatives to develop and deploy AI solutions that improve business outcomes. Collaborate with cross-functional teams to analyze data, create models, and evaluate performance.

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.

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.

The Data Scientist will apply advanced statistics and machine learning to solve cybersecurity challenges, develop prototypes, and present findings. Collaboration with government and academia is key.

The role involves leveraging AI/ML capabilities to modernize logistics data for USCENTCOM, ensuring high-quality data inputs, and communicating insights effectively.

The Senior Data Scientist will analyze large datasets, create data-driven solutions for the DoD and Intelligence Community, lead automated processes, and mentor team members.

As a Senior Staff Data Scientist, you will lead data science initiatives, mentor teams, develop frameworks for experimentation, and collaborate across departments to drive decision-making through data insights.

Responsible for leading data science initiatives, optimizing analytical models, mentoring teams, ensuring compliance with regulations, and translating data insights into business strategies.

As a data scientist, you will analyze complex datasets, develop algorithms, and provide insights for decision-making in various sectors. You will lead teams, mentor colleagues, and utilize tools to create data-driven solutions.

In this role, the Senior Data Scientist leads analytics integration, develops advanced models, collaborates with stakeholders, recommends improvements, and supports policy development.

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 Senior Data Scientist will develop data pipelines for AI applications, optimize data structures, manage databases, and ensure data quality and security.

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 Sr. Data Scientist leads data-driven decision-making to enhance product development, collaborates with cross-functional teams, and champions AI-enabled reporting and data quality improvements.

The Staff Data Scientist will lead data science initiatives, shaping business decisions with causal inference and advanced analytics in the Partnership, Loyalty & Pay team at Lyft, collaborating with multiple teams to drive strategic data-centric recommendations.

The Staff Data Scientist will leverage data analysis and modeling to drive business decisions and strategies through causal inference and advanced analytics across multiple teams.

As a Senior Data Scientist, you'll analyze complex data to support NGA, develop scalable Python solutions, and integrate findings into mission workflows for decision-making.

Lead advanced analytics and modeling efforts: develop queries, prepare data, design and validate predictive and prescriptive models, mentor junior staff, engage stakeholders, deliver insights and recommendations, and apply modern data science and big-data techniques across business functions.

The Senior Data Scientist will develop risk prediction models and perform statistical analyses on clinical datasets, focusing on digital biomarkers for cardiovascular disease. Responsibilities include data pipeline development, cross-team collaboration, and scientific publications.

Develop and execute analyses, predictive models, and reporting to improve Medicare Star Ratings. Analyze large healthcare datasets, extract actionable insights, partner with clinical/operations/product/IT teams, and present recommendations to stakeholders.

The Senior Data Scientist will develop and operationalize advanced analytics solutions, enhance intelligence production, and create dashboards. They will lead projects using Python, SQL, and data visualization tools while ensuring data integrity and operational effectiveness for the DoD and Intelligence Community.