Top Data Science Jobs

Develop machine learning and AI methods for cybersecurity products using large-scale network telemetry. Analyze anomalies and malicious behavior, engineer features, evaluate models on imbalanced and incomplete data, establish monitoring metrics, and conduct error analysis. Collaborate with threat researchers and software engineers to productionize solutions, research emerging techniques, communicate findings, document methodologies, and mentor data scientists.

Designs, builds, and sustains data architecture, pipelines, ETL processes, and decision-support products for USPACOM’s MRT-C baseline. Ensures compliance with DoD data standards, Azure requirements, classification controls, and cross-domain information sharing needs. Integrates and validates terrain data, conducts quality assurance, produces baseline reports, and supports resource proposal development. The role requires advanced computational, software development, data analysis, machine learning, and cloud technology expertise in a national security environment.

Develop AI tools, machine learning systems, predictive analytics, data visualizations, and large-scale Multi-INT data fusion capabilities for USCYBERCOM J2 intelligence operations. Analyze and merge disparate data using R, Python, and SQL; create Power BI and Tableau visualizations; produce analytic reports; and collaborate with intelligence stakeholders to prioritize capability gaps.

Analyze complex structured and unstructured data; design data pipelines; develop predictive, prescriptive, NLP, clustering, forecasting, and machine learning models; automate data processing; use cloud and distributed computing platforms; create visualizations; collaborate with data engineers; research algorithms; and communicate insights to nontechnical audiences supporting U.S. Special Operations Command.

Develop and lead image and video generative AI pipelines, including model fine-tuning, multimodal workflows, agentic orchestration, and visual quality evaluation. Collaborate with Creative, Product, and Engineering teams to deliver scalable AI solutions for product imagery, virtual try-on, and digital content. Evaluate emerging models and vendors, guide data curation, and help productionize research prototypes into cost-effective services and APIs.

Design and deploy deep learning systems for search ranking, personalized recommendations, geospatial search, and pickup-point selection. Translate business goals into ML objectives, lead offline and online evaluation, conduct A/B tests, and partner with engineering on production model serving and latency optimization. Own the production ML lifecycle, including monitoring, drift detection, retraining pipelines, and quality management across international markets.

The Data Scientist will design and deploy AI-driven data solutions, managing data pipelines and machine learning services in secure environments for the Department of Defense.

The Data Scientist will design and deploy AI-enabled data solutions, developing data pipelines and collaborating with teams to transform data into insights.

Design and implement data models, algorithms, ETL pipelines, and analytics solutions. Analyze large structured and unstructured datasets using Python/R and data science libraries, validate integrations, build visualizations and dashboards, and collaborate with stakeholders to deliver mission-focused insights for Army modernization.

The Data Scientist will apply advanced statistics and machine learning to solve cybersecurity challenges, develop prototypes, and present findings. Collaboration with government and academia is key.

As a Senior Staff Data Scientist, you will lead data science initiatives, mentor teams, develop frameworks for experimentation, and collaborate across departments to drive decision-making through data insights.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

As a Data Scientist, you will analyze complex data sets, build machine learning models, and work in a team to provide solutions, ensuring data security and optimization.

The Data Scientist will analyze complex data, build predictive models, and collaborate with teams to innovate technical solutions and optimize processes.

The Senior Data Scientist will develop data pipelines for AI applications, optimize data structures, manage databases, and ensure data quality and security.

The Data Scientist Level 3 will use mathematical, statistical, and computational skills to analyze large datasets, derive insights, and communicate results to both technical and non-technical audiences.

The Data Scientist will develop and maintain ML and NLP models, enhance data products, and support federal agency decisions using analytics.

Conduct data science research on experimental methodologies and causal modeling, develop tools to analyze experimental data, prototype improvements to platform features, and communicate results to internal teams and external stakeholders to drive product and research decisions.

Conduct data science research advancing experimental and causal methodologies; develop robust tools and prototypes to analyze experimental data; improve core platform features; and communicate findings to internal teams and external stakeholders to drive insights and product improvements.

Leads the strategy, roadmap, and delivery of enterprise data products, analytics platforms, and AI-enabled solutions. Translates business needs into product requirements, prioritizes backlogs, defines governance and success metrics, and partners with engineering and business teams. Drives adoption, data quality, compliance, scalability, and measurable business value across quality, regulatory, manufacturing, supply chain, and commercial functions.

Perform research and analytical work to support targeting, access discovery, and mission-focused research. Analyze complex datasets, develop models, and produce visualizations. Apply computational mathematics and Python-based analytics, document methodologies, and collaborate with technical and mission teams to support operational objectives.

Apply statistical and computational techniques to large complex datasets to develop, evaluate, and deploy analytical models and reproducible workflows. Clean, transform, and visualize data, communicate findings to technical and non-technical stakeholders, and translate mission requirements into operational data solutions.

Support and manage Big Data platforms, analyze large mission datasets, develop and refine prototype algorithms, build automated data-processing workflows, create visualizations, and document methodologies while collaborating with technical and mission teams to deliver analytic solutions that support operational objectives.

Perform analytic modeling, statistical analysis, and data engineering to extract value from large, messy datasets. Design and implement ML and inference methods, translate mission needs into technical requirements, and communicate technical findings and recommendations to non-technical stakeholders.

Perform advanced data science R&D for intelligence/defense systems: collect and analyze large datasets, build and deploy production ML models, develop custom searches, improve analytic methodologies, and coordinate with internal and external partners to support mission goals.