Top Data Science Jobs

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

The Data Scientist/ML Engineer will research, design, implement, and deploy Machine Learning algorithms to enhance federal customers' digital transformation efforts.

The Technical Lead in Data Science will mentor a team, shape analytical frameworks, and lead development of analytical systems, ensuring rigorous standards are met while delivering business insights.

As a Data Scientist focusing on unit economics, you'll develop models to analyze customer LTV, guide pricing strategies, and collaborate with various teams to drive business decisions based on economic insights.

The Data Scientist will develop and optimize machine learning models, perform data analysis, and collaborate with teams in a FinTech environment.

The Staff Data Scientist will build predictive models using advanced machine learning techniques, conduct research on fraud detection, improve modeling processes, and work with cross-functional teams to deploy models while managing model risks.

The Data Scientist will develop statistical and machine learning models, analyze datasets, design experiments, and collaborate with stakeholders to deliver insights and decision-support tools, often in AWS environments.

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

As a Senior Data Scientist, you will analyze healthcare data, develop models, collaborate on solutions, and communicate findings to stakeholders.

As a Data Scientist, you'll analyze business challenges, design ML models, communicate actionable insights, and collaborate with ML Engineers on production systems.

Seeking a Data Scientist II to develop AI systems for biomedical applications. Responsibilities include building data pipelines, optimizing AI algorithms, and collaborating with researchers to enhance biomedical research efforts.

The Lead R&D Data Scientist will translate complex biological questions into analysis plans, implement data pipelines, conduct data modeling, and collaborate to drive R&D initiatives.

The role involves designing and executing analytical solutions, integrating data sources, creating predictive models, and communicating insights effectively.

As a Data Scientist at FocusKPI, you will develop predictive models, enhance measurement solutions, and provide statistical support for marketing analytics, while communicating results effectively to stakeholders.

The Product Data Scientist at Bask Health analyzes data to uncover insights that shape product development and influence business strategies, working cross-functionally to inform decisions in healthcare.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

As a Marketing Data Scientist, you will develop machine learning models to analyze customer behavior, improve promotional strategies, and conduct A/B testing in a collaborative analytics team.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

The Data Scientist will evaluate supply chain data, create predictive models, and integrate data from multiple sources, requiring strong analytical skills and knowledge of statistical modeling.

The Sr Staff Data Scientist leads development of Data Science and Machine Learning solutions in industrial operations, mentoring teams, and translating complex challenges into practical models that enhance reliability and efficiency.

The Data Scientist II will enhance marketing strategies through advanced measurement frameworks, statistical models, and cross-functional collaborations to drive revenue growth for Pinterest.

As a Data Scientist, you'll develop predictive models and analytics tools to enhance athlete evaluation and team performance, collaborating closely with sports organizations on data-driven insights.

The Data Scientist will lead projects using data analytics and machine learning for business solutions in oil and gas, requiring strong collaboration and technical skills.

Extract and analyze data to provide insights for clients, develop visualizations, create data models, and optimize business strategies.

The Data Scientist II role involves developing and delivering machine learning and deep learning models for forecasting needs in advertising campaigns, collaborating with engineering teams and stakeholders.