Top Data Science Jobs in Washington, DC

Leads teams in designing and deploying scalable AI and machine learning solutions for consulting clients. Responsibilities include data wrangling, complex analysis, data modeling, AI system implementation, data pipeline and infrastructure oversight, deep learning, neural networks, data quality validation, and stakeholder collaboration. The manager coaches team members, manages performance, supports innovation, and applies Python, Java, and cloud technologies to build production-ready AI applications.

Supports DHS clients through data science consulting, including dashboard and visualization development in Tableau, data cleaning with R and Python, analytics solution maintenance, reporting, predictive analytics, and ad hoc analysis. The role also involves client communication, business development support, and explaining technical concepts to nontechnical audiences.

Perform data science, engineering, analytics, and statistical work for Department of War and Intelligence Community clients. Test and evaluate AI/ML models, collaborate with teams, communicate findings, and support or conduct all-source analysis. Experience with GEOINT and large language models is preferred. The role requires an active TS/SCI clearance and ability to pass a CI polygraph.

Conduct data science, engineering, and analytics work supporting Department of War and Intelligence Community clients. Test and evaluate AI/ML models, potentially work with large language models, perform all-source analysis, and collaborate with multidisciplinary teams. The role requires an active TS/SCI clearance with a recent CI polygraph and a bachelor’s degree or equivalent direct experience.

Develops and evaluates data science and AI/ML models while supporting Department of War and Intelligence Community clients. The role requires collaborating across teams, communicating effectively, conducting testing and evaluation, and potentially applying large language models and all-source analysis. Candidates must hold an active TS/SCI clearance with a current CI polygraph and have a bachelor’s degree or at least four years of direct data science experience.

Conduct statistical, geospatial, and data visualization analyses of environmental data to support advocacy, litigation, and policy priorities. Build maps, dashboards, graphics, and other public-facing resources; clean and validate datasets; lead projects from intake through quality assurance; and communicate technical findings to non-expert audiences. Collaborate with advocates, litigators, scientists, and external partners while managing timelines, deliverables, and stakeholder review.

Analyzes structured and unstructured financial and ERP data using Python, SAS, statistical methods, predictive modeling, and advanced algorithms. Supports Oracle E-Business Suite financial processes, data conversion, reporting, and continuity of operations planning. Develops models and actionable insights for business decisions, collaborates with engineering and disaster recovery teams, maintains contingency plans, and executes recovery exercises. Requires a master’s degree, 5+ years of experience, Oracle expertise, certification eligibility, and approximately 25% annual travel to Washington, DC.

Analyze large customer datasets, evaluate machine-learning models, develop risk and fraud insights, and communicate data-driven recommendations to technical and nontechnical audiences. The role partners with sales and account teams throughout pre- and post-sales, creates automated analytical workflows, supports product optimization and upsell opportunities, and may build exploratory ML models. It also contributes thought leadership on identity verification, fraud prevention, model performance, and customer risk management.

Perform data exploration, cleaning, analysis, and visualization; develop predictive models and algorithms on structured and unstructured data; apply ML/AI/NLP techniques to deliver client-facing solutions. TS/SCI clearance required.

Develops Power BI dashboards and data visualization solutions, leads data cleaning with R and Python, maintains analytics tools, fulfills ad hoc requests, supports client services and business development, and contributes to data-driven decision-making for DHS.

Designs, develops, and operationalizes machine learning models and advanced analytics for a 24x7 Security Operations Center. Analyzes security telemetry, builds data pipelines and feature engineering workflows, integrates analytics with SOC tools using Docker and Kubernetes, and applies threat frameworks such as MITRE ATT&CK. Provides technical leadership, mentors analytics personnel, collaborates with SOC analysts and engineers, and delivers documentation, performance metrics, and leadership briefings.

Develops advanced data analysis, visualization methodologies, intelligence support packages, and machine learning models for a federal client. Processes disparate data, identifies trends and relationships, delivers infographics and stakeholder briefings, documents technical solutions, and supports architectural reviews. The role requires Python-based data science experience, Agile development familiarity, strong communication skills, a bachelor’s degree, and an active Top Secret/SCI clearance.

Develop and evaluate supervised and unsupervised machine learning and AI models for a federal law enforcement data program. Apply NLP to extract and enrich entities from unstructured data, prepare structured and unstructured datasets, create visualizations, and communicate findings to technical and non-technical stakeholders. Collaborate with an Agile delivery team on enterprise data analytics and mission-focused modeling.

Develop predictive models, quantitative analyses, algorithms, and visualizations using structured and unstructured data. Manage SharePoint workflows, sites, permissions, metadata, retention policies, version control, records management, and shared-drive governance. Implement information security and data-loss prevention measures, optimize collaboration platforms, document procedures, preserve institutional knowledge, and train personnel. The role requires a bachelor's degree, relevant data science experience, and TS/SCI clearance with polygraph.

Builds dashboards, applications, automations, ETL integrations, predictive risk models, and AI/ML solutions for unstructured data. Performs data normalization, visualization, business intelligence analysis, and risk assessment improvement. Recommends data storage and integration solutions, creates Power BI documentation, and applies SQL, R, Python, and other data science tools to federal systems and public-sector projects.

Develop data science algorithms, ETL pipelines, analytic software, and machine learning solutions from structured and unstructured data. Collaborate with clients and project teams to transform data into actionable insights, build automated tools, visualize results, and support scalable data platforms. The role requires advanced security clearance and may involve intelligence-related mission support.

Develop and deploy complex machine learning and analytics models for client systems. Manage large datasets, perform data ingestion, cleaning, feature extraction, modeling, validation, visualization, and reporting. Collaborate with clients and distributed data science and systems engineering teams while delivering maintainable, tested, version-controlled, cloud-based solutions within cost and schedule constraints.

The Data Scientist will support Army network and enterprise information environment missions by analyzing complex datasets, developing statistical and machine learning models, integrating APIs and automated data pipelines, and building Palantir Foundry and Army Vantage applications. The role includes creating executive visualizations, applying AIP tools, supporting secure Army and DoD data environments, and translating technical findings into actionable recommendations for senior leadership.

Analyze complex structured and unstructured datasets to answer client questions, evaluate AI and machine learning models, and deliver objective insights for leadership decisions. Collaborate with clients and teammates, mentor colleagues, and strengthen data science capabilities supporting Department of War or Intelligence Community clients. The role may involve GEOINT, LLMs, and all-source analysis in a classified environment.

Develops cybersecurity and GRC analytics, predictive risk-scoring and machine-learning models for Department of Justice clients. The role curates datasets, supports RMF, vulnerability management and authorization workflows, builds dashboards and automated data pipelines, validates models through CI/CD and DevSecOps practices, and communicates actionable insights to ISSOs, system owners and delivery teams.

Analyze structured and unstructured data to uncover insights, develop predictive models and algorithms, and create visualizations that support client decision-making. The role involves data exploration, cleaning, mining, statistical analysis, machine learning, artificial intelligence, and natural language processing across public- and private-sector challenges. Candidates collaborate with clients, use programming and distributed-computing tools, and must hold a Secret clearance and bachelor’s degree.

Lead development and deployment of machine learning models, provide technical leadership on AI/ML solutions, integrate models with data pipelines, build RPA automations, support data governance, evaluate analytics products, and present findings through dashboards and reports to stakeholders.

Provides data science consulting support to DHS by developing Power BI dashboards, cleaning and transforming data with Python and R, maintaining analytics solutions, and delivering predictive analytics and business intelligence. The role involves client communication, ad hoc analysis, requirements gathering, business development support, and translating technical topics for nontechnical audiences. Familiarity with cloud analytics platforms, PowerApps, ETL/ELT, financial data, and workload modeling is beneficial.

Develop data science capabilities by analyzing complex structured and unstructured data, evaluating AI/ML models, translating findings into actionable insights, collaborating with clients, and mentoring teammates. The role supports defense and intelligence clients and may involve GEOINT, LLMs, and all-source analysis.

Conducts data analytics, engineering, mining, statistical analysis, predictive modeling, and intelligence-focused data visualization. Designs and optimizes data architectures, storage, access, integration, throughput, and query performance. Builds AI automation tools and prediction systems from disparate data sources, collaborates with intelligence community members, communicates complex findings, and develops concise defense intelligence products. Requires active TS/SCI clearance, U.S. citizenship, and ability to obtain a counterintelligence polygraph.