Top Data Science Jobs

As a Data Scientist, you will analyze diverse data to build digital twins of electric grids, advise on strategy, and enhance models using AI and ML techniques.

The Data Scientist will develop machine learning models using cancer data to advance oncology understanding and improve patient outcomes, collaborating with multiple teams and publishing results.

As a Senior Consultant, you'll maximize clients' data value through analytics, lead teams, and consult on data strategy and architecture.

The Data Scientist will develop advanced geospatial models for logistics, improving delivery through data insights, and collaborate with teams on operational strategies.

As a Data Scientist II at Oscar, you'll drive data science projects, develop models, collaborate with cross-functional teams, and ensure quality outputs with minimal oversight.

As a Data Scientist II, you will own data science projects, drive analytical work, and collaborate on impactful solutions in insurance data analytics.

The Data Scientist II will drive projects in data science, manage analytics and modeling work, and collaborate closely with cross-functional teams.

Design and develop methods for analyzing big data to generate insights for healthcare applications, using statistical methods and machine learning. Collaborate across teams to improve predictive modeling and data utility.

The Data Scientist Level 4 develops strategies to extract insights from large datasets, utilizing advanced analytics and machine learning techniques. Responsibilities include statistical analysis, modeling, and effectively communicating findings to non-technical audiences.

As a Staff Data Scientist, you will create and integrate AI/ML models into performance management, conducting data analysis, statistical modeling, and collaborating with engineering teams for operationalization.

The Data Scientist will analyze geospatial data, communicate insights, collaborate with teams, and enhance data processes to support national security missions.

The Data Scientist II estimates, develops, and implements consumer credit models related to mortgage metrics and utilizes statistical methods and machine learning. This role involves cloud computing, data analysis, and communication of findings to nontechnical teams.

As a Bioinformatics Software Engineer, you will develop and improve bioinformatics pipelines for single-cell data, collaborating with teams and enhancing software solutions to streamline data analysis.

As a Lead Data Scientist in Fraud, you will develop, deploy, and monitor machine learning models to detect and prevent fraud, while leading a team and collaborating across departments.

The Lead Data Scientist at Caterpillar leads data and analytics solutions, directs team projects, conducts data preparation, and supports AI initiatives.

The Data Scientist will analyze data to derive insights, develop personalized client interactions, and create scalable AI solutions while ensuring adherence to regulatory standards.

The Senior Data Scientist will engage with business partners to solve problems using data science, lead model development, and mentor others, focusing on supply chain and causal modeling.

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

The Staff Data Scientist leads data science projects, providing technical guidance and mentorship, identifying AI opportunities, and managing project initiatives with a focus on developing predictive models and analytics capabilities.

As a Senior Data Scientist, you will analyze complex data, develop algorithms, and create insights using machine learning and AI techniques in various sectors, while collaborating closely with clients.

As a Senior Data Scientist, you will analyze complex datasets, develop algorithms, and apply machine learning to solve critical business problems across various sectors while collaborating with clients to provide actionable insights.

The Data Scientist will develop Big Data/Cloud solutions, manage data manipulation, and work in an agile team for national security projects.

The Data Scientist will conduct data research, develop analytics models, ensure data quality, and communicate actionable insights to stakeholders. Responsibilities include statistical analysis, data mining, and collaboration with business experts to enhance decision-making.

As a Data Scientist at Promise, you'll develop AI solutions to improve government services through machine learning and document understanding, enhancing efficiency and accessibility.

The Data Scientist will design and deliver training programs, mentor peers, and establish best practices while conducting complex data analysis. Responsibilities include creating training materials, facilitating workshops, and collaborating with stakeholders across projects.