Top Data Science Jobs

Conduct data science research advancing experimental and causal methodologies; develop robust tools and prototypes to analyze experimental data; improve core platform features; and communicate findings to internal teams and external stakeholders to drive insights and product improvements.

As a Data Scientist, you will design and develop data pipelines, perform data analysis, and collaborate with the product team to implement solutions for large datasets.

Design and implement data models, algorithms, ETL pipelines, and analytics solutions. Analyze large structured and unstructured datasets using Python/R and data science libraries, validate integrations, build visualizations and dashboards, and collaborate with stakeholders to deliver mission-focused insights for Army modernization.

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.

The Data Scientist / Engineer will design, develop, and deploy scalable AI data solutions, build and operationalize ML models, conduct data analysis, and ensure alignment with mission objectives while collaborating across teams.

The Data Scientist will design and deploy AI-driven data solutions, managing data pipelines and machine learning services in secure environments for the Department of Defense.

The Data Scientist will analyze customer behavior and market trends, build predictive models, and develop ML solutions while collaborating with business leaders and teams.

The Data Scientist will design and deploy AI-enabled data solutions, developing data pipelines and collaborating with teams to transform data into insights.

As a Founding Data Scientist, you will develop predictive models and optimize data infrastructure to enhance supply chain operations, focusing on shipment risk and decision-making.

As the first Data Scientist, you will build models and algorithms from scratch, impacting the company's success in optimizing insurance portfolios.

The Data Scientist leads data science initiatives, combining technical expertise with business acumen to develop and validate models, deliver insights, and mentor junior members.

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.

The candidate will analyze complex data to inform business decisions, design customer models, utilize machine learning tools, and collaborate across departments.

As a Data Scientist, you'll analyze complex data sets, develop algorithms, and work with clients to solve challenges across various sectors.

As a Data Scientist, you'll analyze structured and unstructured data, develop predictive models, and create algorithms to aid decision-making for clients across various sectors.

The Data Scientist will analyze data trends, develop effective data taxonomy, and provide data modeling services for a Joint Interagency Task Force focusing on C-sUAS capabilities.

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.

Design and implement data science solutions: prepare and transform diverse data, build data pipelines and algorithms, perform statistical modeling and large-dataset querying, create visualizations and proofs-of-concept, and support requirements for dashboards and analytical products.

Design, run, and analyze experiments (A/B/n) to optimize personalization, retention, and loyalty for Sportsbook marketing. Partner with marketing, ML engineering, and data teams to advance experimentation tools, automate analyses, and present actionable insights to stakeholders to inform promotional strategy.

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 Data Scientist will handle big data management, develop algorithms, perform statistical analyses, and support data visualization and analytics.

The Senior Data Scientist will enhance intelligence operations through advanced data analysis, machine learning, and support for GEOINT and multi-INT methodologies, requiring collaboration and leadership in complex problem-solving.