Top Data Science Jobs

Design and implement data science solutions: ingest and clean data, build ETL pipelines, develop predictive models and algorithms, create visualizations, lead teammates, and deliver analytic products for intelligence and commercial clients while maintaining classified clearance requirements.

Work with clients to analyze large, structured and unstructured data sets, build ETL pipelines, develop machine learning models and automated analytic software, produce visualizations, guide teammates, and translate insights into actionable recommendations for public- and private-sector problems.

The Data Scientist Level 3 role involves extracting value from large datasets using advanced modeling, statistical analysis, and effective communication of data insights, demanding significant experience in data science and machine learning.

The Data Scientist will build predictive models, drive forecasting, design experiments, and translate findings for stakeholders, optimizing healthcare operations.

The Data Scientist will apply machine learning and statistical analysis to support mission analysis, develop analytical tools, and visualize complex datasets for insights.

The Data Scientist will develop data-driven solutions, integrate APIs, manipulate data using Python, analyze large datasets, and collaborate with teams.

The Data Scientist will analyze complex datasets, develop models and dashboards, and provide insights to support decision-making for clients.

This role involves developing and implementing statistical models, leading data science techniques, applying machine learning to business challenges, and communicating insights to stakeholders.

The Data Scientist will design predictive models, analyze immigration data, create dashboards, and communicate technical findings to agency leadership.

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.

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.

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.

Senior Data Scientist designs, implements, and maintains data pipelines and ML projects for AFSOC. Responsibilities include analyzing structured and unstructured data, building predictive and NLP models, using big-data frameworks, creating visualizations, coordinating with data engineers, and communicating findings to non-technical stakeholders to drive mission-focused decision making.

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

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.

The Junior Data Scientist supports a federal program by collecting, cleaning, validating, and analyzing performance data, building scripts, and developing visual dashboards.

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.

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.

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.