Top Data Science Jobs

Senior Staff Data Scientist to lead ML/AI strategy and architect scalable ML systems for vehicle quality and engineering analytics. Build predictive, prescriptive, causal, and LLM-based models on large-scale vehicle/IoT data, manage ML lifecycle (training, validation, deployment, monitoring), design experimentation frameworks, and mentor other data scientists to drive measurable quality, warranty, and customer experience improvements.

Design, build, and validate predictive models on large transaction datasets to support Sales and B2B Marketing. Lead experiment design and evaluation, produce stakeholder-facing analyses and reports, and deploy data science projects to production to drive business impact.

As a Data Scientist at Retool, you will analyze customer behavior and business performance, build analytical models, and provide insights to guide strategy across teams.

As a Data Scientist, you'll curate, optimize data, build ML pipelines, train models, and communicate findings, contributing to national security solutions.

Provide advanced data science and analytics to support audits, inspections, evaluations, and investigations for a U.S. government agency. Tasks include data acquisition, cleaning, entity resolution, statistical and fraud-risk analysis, dashboard and visualization development, investigative link and timeline analysis, reporting for audits and prosecutions, and supporting data governance, reproducibility, and training for government personnel.

Validate and test credit risk models, prepare validation reports and documentation, support model releases and monitoring, automate model training, perform ad-hoc statistical analyses, and communicate findings to stakeholders to support risk management and production deployment.

Lead data science projects to optimize drug development, develop AI models for clinical trials, and collaborate with teams on biomedical workflows.

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.

As a Staff Data Scientist, you will lead data initiatives, partnering across teams to apply statistical methods and improve mental health care outcomes by translating data into actionable insights.

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.

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.

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.

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.

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.

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 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 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 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.

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 will lead the development of data products that enable AI-driven insights, ensuring compliance and optimizing processes across CMC workflows.

Build, validate, and productionize clustering and attribution heuristics on large multi-chain on‑chain datasets. Own end-to-end data pipelines, investigate edge cases (mixers, bridges, consolidation), benchmark against ground truth, and partner with investigations and product to define and defend precision/coverage metrics.

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.

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.