Top Data Science Jobs

The Bioinformatics/Data Scientist will analyze multi-omics data from organoid systems, develop computational pipelines, and collaborate on research to optimize protocols and interpret results.

As a Senior Data Scientist, you'll optimize search relevance, retrieve content, analyze data, and collaborate with teams to enhance product strategies.

As a Data Scientist, you'll analyze data sets, create algorithms, and provide insights to clients in various sectors. You'll leverage skills in programming, statistical analysis, and machine learning methods to develop solutions and data visualizations, making significant impacts on global challenges.

As a Data Scientist, you'll design and implement ML solutions, analyze data, and enhance statistical models to inform product decisions for Workday's platform.

The Data Scientist will design data-driven solutions, analyze data using Python and SQL, and develop analytics products while engaging with clients to meet their mission needs.

The Data Scientist I will implement strategies on a decision-making platform, support product development through data-driven insights, and enhance risk and revenue strategies using data modeling techniques.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

The Data Scientist at Vantage Data Centers develops and operationalizes analytical models to enhance forecasting, optimize performance, and improve decision-making across various departments, ensuring alignment with data architecture and governance standards.

The Data Scientist will create and deliver analytic processes and data solutions while coordinating with clients to address data-related issues. Responsibilities include designing data architecture, building ETL pipelines, integrating APIs, conducting impact analysis, and preprocessing geospatial data.

The Data Scientist will lead advanced analytics and drive decision-making through data engineering, modeling, and visualization, primarily supporting the Air Force's Intelligence mission.

The Data Scientist will apply advanced analytics and machine learning to streamline ISR operations, manage datasets, and advise on AI initiatives, ensuring quality and compliance.

The Data Scientist will lead AI strategy, manage risk analytics projects, develop machine learning models, and foster collaboration across departments at the Federal Reserve Bank.

The Data Scientist will build scalable data models and predictive systems for customer growth, collaborate with teams, maintain model performance, and ensure data quality.

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.