Top Data Science Jobs

Contract data scientist to remotely gather, extract, and analyze technical information about AI models, benchmarks, data centers, and companies. Tasks include reading ML papers, tracking leaderboards, processing satellite images/permits, compiling infrastructure details, and producing data insights for research and policy. Part-time (10–30 hrs/week), flexible schedule with occasional Pacific Time meetings.

Perform data science on government datasets: extract VPN info, apply DX/XKS and CASN knowledge, build models, curate and analyze large datasets, translate mission needs into technical requirements, and communicate findings to non-technical stakeholders.

Develop and sustain analytics tools using Python and customer toolset. Apply mathematical, statistical, and computational methods to large, messy national agency datasets, build and validate models, translate mission needs into technical requirements, and communicate complex results to non-technical audiences.

Senior data scientist/exploitation specialist to integrate emerging EO and SAR sensors into NGA Maven pipelines, perform quantitative analysis, build ETL and visualization tools, develop software for labeling campaign management and imagery curation, and support ML model development, partitioning, and evaluation to meet operational intelligence needs.

Design, build, and maintain data architecture and ETL pipelines for emergent sensor and geospatial data. Ensure compliance with government data schemas and NGA governance, manage SQL/NoSQL databases, APIs, metadata, data health alerts, and cross-domain solutions. Support cloud environments, create NPEs and GitLab repositories, perform QC and compliance reporting, and enable data availability for IC consumption and analytics.

Lead product-focused data science at OpenArt: design experiments, build metrics and dashboards, run user and behavioral analyses, inform product and growth decisions, collaborate cross-functionally, and establish DS best practices as the first US hire.

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

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.

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

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 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 analyze large datasets, design statistical systems, and build models to aid government clients in decision-making. Responsibilities include applying predictive modeling, optimizing processes, and collaborating on agile teams.

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 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.

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 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 analyze large datasets using advanced statistical methods and programming to provide insights for strategic organizational decisions. Responsibilities include developing machine learning models, conducting experiments, and collaborating with Data Engineers.

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.

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 Staff Data Scientist, you will lead experimentation strategies, apply advanced causal inference techniques, and guide analytical insights to drive product and business decisions.

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