Top Senior Data Science Jobs

The Senior Data Scientist will design, develop, and deploy AI/ML capabilities for US Government customers, including machine learning algorithms and generative AI applications. Responsibilities include managing data pipelines, conducting R&D, and supporting pre-sales efforts.

Senior data scientist role requiring 10–15 years and an MS/PhD to build and deploy ML models (NNs, SVM, Random Forest, collaborative filtering), lead NLP/text-mining projects, use R/Python/IBM SPSS, manage model lifecycle, communicate results to management. Logistics/shipping and cognitive computing experience are desirable. Contract role requiring US work authorization.

Senior Data Scientist with 10–15 years (MS/PhD) to design and develop ML/NLP models, manage model lifecycle, implement recommendation and pattern-recognition algorithms, use R/Python/SPSS, communicate results to leadership. Logistics/shipment processing experience and cognitive computing are desirable.

Lead marketing measurement and optimization by building statistical and ML models (propensity, forecasting, LTV), attribution methods, and causal inference analyses. Design experiments, automate ETL and reporting pipelines, create dashboards, and translate insights into strategic recommendations to drive advertiser acquisition, retention, and revenue growth.

Seeking a Senior Data Scientist to design, code, and improve models and algorithms, evaluate decision systems, and partner with teams to translate data into impactful behaviors.

The role involves developing data use cases, building predictive models, analyzing large datasets, and collaborating with stakeholders in supply chain domains.

The Senior Data Scientist will develop machine learning systems for fraud prevention using behavioral data, collaborate across teams, and mentor junior scientists.

The Senior Data Scientist will develop analytical solutions for marketing and risk management, manage data sets, and support modeling activities, collaborating with teams to deliver actionable business insights.

Support UI Originals by designing and analyzing A/B tests, building dashboards and data pipelines, analyzing structured and unstructured data, and delivering clear insights and recommendations to product, engineering, and leadership to inform product decisions and monitor initiative performance.

Partner with Product, Engineering, and Business teams to analyze user behavior, design and interpret A/B tests, build data pipelines, develop dashboards and visualizations, perform exploratory analysis, and deliver actionable insights to improve Roku UI Originals performance and inform product decisions.

As a Senior Data Scientist at Amplitude, you'll analyze user experiences, contribute to product optimization, and lead data experimentation efforts utilizing advanced statistical methodologies and machine learning.

The Senior Data Scientist leads data science initiatives by leveraging mortgage industry insights, developing machine learning models, and ensuring compliance with regulations while mentoring junior team members.

The Lead Data Scientist designs and deploys data science solutions, leads model development, collaborates with teams, and ensures best practices for data governance and model optimization.

The Senior Data Scientist will design and deploy machine learning models for yield optimization and inventory allocation in programmatic advertising, ensuring effective real-time decision-making and collaboration across teams.

The Senior Data Scientist will develop scalable ML models, analyze large datasets for insights, and collaborate with teams to enhance business performance through data-driven solutions.

As a Senior Data Scientist at Lyft, you will use data to drive decisions, design experiments, and optimize risk strategies by partnering with cross-functional teams to enhance safety and reduce claims costs.

As a Senior Data Scientist, you'll leverage data to shape business decisions and drive initiatives to reduce accident frequency and claims. You'll partner with various teams to design experiments and predictive models for risk optimization.

Lead product-focused analyses across growth, retention, creator and economy verticals. Define metrics and experiments, analyze user and creator behavior, build dashboards and reusable analytical assets, use AI-assisted workflows to accelerate analysis, collaborate with engineering to improve data quality, and communicate insights to influence product decisions.

Design, develop, and deploy causal inference and predictive models (uplift, synthetic control, DML) for customer loyalty, churn, and LTV. Build foundational data models and scalable features, perform large-scale SQL ETL, operationalize models in cloud, partner with stakeholders, and present insights to drive revenue and loyalty program optimization.

Lead data science and analytics efforts for a DoD client: architect and implement data analytics solutions, collect and normalize complex data, build Power BI dashboards and predictive models, document data quality, and present findings. Work closely with stakeholders and support on-site delivery in Quantico and Stafford, VA.

As a Senior Data Scientist, you'll develop learning systems, algorithms, and models for optimizing marketing campaigns while collaborating with product development teams and engineering.

The Lead Data Scientist will oversee AI projects, mentor engineers, and develop systems for knowledge retrieval and analysis in defense. Responsibilities include guiding technical strategy, collaborating across teams, and championing AI innovations.

The Lead Data Scientist will lead AI solution development for National Security by driving projects, mentoring teams, and enhancing systems with advanced simulation and optimization techniques.

The Data Product Scientist will analyze data, build machine learning models, translate business needs into data questions, and develop scalable data products. Responsibilities include training users, creating documentation, and ensuring effective communication across teams.

The Senior Data Product Scientist will lead data science initiatives, build scalable data products, mentor team members, and translate complex data insights into business recommendations.