Top Data Science Jobs in Washington, DC

Hands-on Staff Data Scientist to translate ambiguous business problems into production-grade ML solutions. Responsibilities include feature engineering, model development, evaluation, MLOps, deployment, monitoring, experimentation, cross-functional partnership, and technical leadership to scale reproducible data-science practices and deliver measurable business impact.

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.

Lead teams applying advanced data science and machine learning to large-scale claims, clinical, and member data to generate actionable insights that reduce cost of care and improve population health. Manage client relationships, mentor staff, ensure project delivery and quality, develop payer-focused analytics products, present findings to senior stakeholders, and promote continuous improvement and knowledge sharing.

Lead analytics initiatives to deliver strategic insights for consumer markets. Develop advanced analytics and BI solutions, manage teams, engage stakeholders, implement cloud analytics, and coach diverse teams to improve performance and decision-making.

Apply machine learning and NLP to detect financial crime using SQL and Python. Analyze complex datasets, develop and monitor ML models, mentor junior staff, and translate client needs into analytical solutions while leveraging MLOps, cloud, and containerization.

Develop predictive models, quantitative analyses, algorithms, and visualizations from structured and unstructured data. Clean, explore, analyze, and transform data using R and other tools, communicate findings to nontechnical clients, and support data-driven decisions. The role may involve machine learning, artificial intelligence, NLP, anomaly detection, fraud-risk scoring, dashboards, databases, and integration of analytics into mission systems or automated workflows.

Conducts data mining, statistical, predictive, and exploratory analyses for defense intelligence. Builds AI and machine learning tools, predictive systems, data architectures, visualizations, and data management solutions. Integrates disparate sources, optimizes data throughput and queries, identifies patterns and anomalies, and produces concise intelligence products. Collaborates with intelligence community members, works independently, supports program evaluation, and leads research into complex problems.

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.

Analyze and clean structured and unstructured data, evaluate data sources, develop statistical and AI/ML models, and create Tableau visualizations and dashboards. The role communicates findings through reports, publications, presentations, and briefings, supports national security intelligence problems, responds to customized analytical requests, and provides technical education. Work includes time-series analysis, cloud and API use, version control, and collaboration with Sponsor stakeholders.

Develop and deploy machine learning models and statistical algorithms to detect financial crime using large-scale BSA/AML transaction data. Perform exploratory analysis, feature engineering, validation, SQL analysis, visualization, and documentation using Python, R, PySpark, AWS, and related tools. Collaborate with investigators, compliance analysts, and technical stakeholders to translate regulatory requirements into analytical solutions. The role requires active Top Secret clearance with SCI eligibility and full-time onsite work in Washington, DC.

Develop and validate machine learning models and analytics workflows for government missions. Perform EDA, feature engineering, data ingestion/transformation, modeling, and visualization across large structured and unstructured datasets. Collaborate with stakeholders, deliver documented reproducible analytics, and support cloud-based and distributed government site analytics environments.

Develops algorithms and analytical systems to interpret structured and unstructured data for government and private-sector clients. Applies statistical and scientific methods to deliver quantitative and qualitative insights, working collaboratively in data-rich environments. Responsibilities include data analysis, data gathering, cleansing, parsing, and translating complex datasets into objective answers that support informed decision-making.

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.

Develop algorithms and systems to analyze structured and unstructured data, applying statistical and scientific methods to produce actionable insights for clients. Collaborate with clients and teammates across domains including fraud detection, cancer research, and national intelligence. Gather, cleanse, parse, and interpret data while using tools and frameworks in Windows and Linux environments. The role requires Python experience, data analysis expertise, and TS/SCI clearance with polygraph.

Develop algorithms, predictive models, and analytical systems using structured and unstructured data. Explore, clean, analyze, mine, and visualize data to help clients solve complex challenges. Apply machine learning, artificial intelligence, natural language processing, statistical analysis, and programming techniques to produce actionable insights across public and private sector projects.

Design, develop, and deploy ML/statistical models to detect financial crime using BSA/AML transaction data. Perform EDA, feature engineering, validation, SQL querying of large datasets in AWS, produce visualizations and documentation, collaborate with compliance/investigators, and support reproducible workflows and code reviews.

Seeking a Data Scientist with 5+ years experience to develop and fine-tune AI/ML solutions, focusing on large language models. Collaborate with engineering teams to deploy robust models in production while applying modern techniques.

The Data Scientist/Analyst will evaluate economic performances, develop performance metrics, and create dashboards for the Department of State, while collaborating on complex challenges through data-driven insights.

Designs and implements AI solution architectures for Marine Corps operational needs. Develops innovative machine learning solutions, selects algorithms and technologies, builds data-processing scripts and programs, and supports scalable data platforms. Collaborates with cross-functional teams, advises clients on ML tools and frameworks, and may mentor team members. Requires software engineering experience, big data expertise, a programming language, a bachelor’s degree, and eligibility for a Secret clearance.

Collects, explores, and analyzes large datasets to identify business opportunities and improve outcomes. Develops predictive models, machine-learning algorithms, testing frameworks, and data pipelines; evaluates data quality and model performance; and communicates actionable insights to stakeholders and clients. The role also manages data science projects, establishes reporting best practices, and collaborates with cross-functional teams to implement and monitor solutions.

Work with clients to analyze large, structured and unstructured data sets, design and test AI/ML models, mentor teammates, and deliver actionable insights to leadership, primarily supporting DoW/IC customers.

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.

As a Data Scientist, you will design and develop data pipelines, perform data analysis, and collaborate with the product team to implement solutions for large datasets.

Work with clients to analyze large structured and unstructured data sets, develop and evaluate AI/ML models, mentor teammates, and deliver actionable insights to leadership. Support DoW/IC customers and translate complex data into decision-ready products.

The Data Scientist III will enhance cybersecurity operations using data science and machine learning techniques, developing analytical models, and integrating data from various sources to improve threat detection and monitoring.