Data Scientist

Big Data Equities DevSecOps Leadership Statistics Databricks Mathematics Forecasting Probability Market Data Data Science Deep Learning Data Ingestion Responsible AI Data Governance Computer Vision Ancient History, Senior-most technical position responsible for leading the design, development, deployment, and optimization of advanced data science solutions in support of government mission objectives. The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine learning, artificial intelligence, data exploitation, and analytic tradecraft. This role requires on-site support at a government facility and close collaboration with mission operators, analysts, engineers, program leadership, and government stakeholders in secure environments., * Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications.

• Design and implement statistical models, predictive analytics, forecasting methods, optimization models, and decision-support tools.
• Extract, transform, integrate, and analyze structured, semi-structured, and unstructured data from multiple government and mission-relevant sources.
• Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery.
• Architect end-to-end analytic workflows, including data ingestion, feature engineering, model training, testing, deployment, monitoring, and lifecycle management.
• Apply advanced quantitative methods to derive actionable insights from large, complex, and high-value datasets.
• Collaborate with domain experts, mission analysts, software engineers, and government personnel to translate mission needs into technical solutions.
• Evaluate model performance, quantify uncertainty, and ensure analytic validity, repeatability, and interpretability.
• Support data governance, security, compliance, and responsible AI practices within government mission environments.
• Prepare technical documentation, briefings, reports, white papers, and stakeholder presentations.
• Advise leadership on data science strategy, analytic methodology, capability gaps, and technology insertion opportunities., All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. Related Jobs Data Scientist Leidos Bethesda, MD*On-Site Neo4j Kibana On Prem Physics Teamwork Research Big Data Equities Scripting Economics Streamlit Algorithms Kubernetes Statistics Mathematics Market Data Social Media Data Science Data Analysis Presentations Elasticsearch Cyber Security Self-Motivation Version Control Research Design Social Sciences Active Learning Knowledge Graph Ancient History Customer Service Computer Science Data Acquisition Machine Learning Operating Systems Docker (Software) Big Data Analytics Hardware Platforms Amazon Web Services Elastic (ELK) Stack User Interface (UI) Forensic Accounting Software Development Technological Change Quantitative Research Business Intelligence Supply Chain Analysis Intelligence Analysis Information Retrieval Social Media Analytics Intellectual Curiosity Social Network Analysis Creative Problem Solving SQL (Programming Language) Git (Version Control System) Document And Media Exploitation Natural Language Processing (NLP) Field-Programmable Gate Array (FPGA) Measurement And Signature Intelligence Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0

Google IT Support

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Computer Science Machine Learning Model Validation Data Engineering Data Architecture Unstructured Data Anomaly Detection Data Exploitation Performance Review Advanced Analytics Operationalization Workflow Management Predictive Modeling Experimental Design Feature Engineering Software Engineering Statistical Modeling Predictive Analytics Scientific Computing Enterprise Analytics Quantitative Research Statistical Inference Distributed Computing Artificial Intelligence Technical Documentation R (Programming Language) Decision Support Systems SQL (Programming Language) Verbal Communication Skills Python (Programming Language) Natural Language Processing (NLP) MLOps (Machine Learning Operations) Time Series Analysis And Forecasting Top Secret-Sensitive Compartmented Information (TS/SCI Clearance), * Statistical modeling and inference

• Machine learning and artificial intelligence
• Predictive analytics and forecasting
• Data mining and pattern analysis
• Feature engineering and model evaluation
• Data wrangling, integration, and transformation
• Python, R, SQL, and scientific computing libraries
• Visualization and dashboarding tools
• Model deployment, monitoring, and lifecycle support
• Documentation, briefing development, and technical communication, * Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, or a related quantitative field.
• Minimum of 12-15 years of relevant professional combined experience in data science, advanced analytics, machine learning, artificial intelligence, or statistical modeling.
• Demonstrated experience developing and deploying production-grade analytic or machine learning solutions in government, defense, intelligence, or other highly regulated environments.
• Deep knowledge of statistical inference, probability, experimental design, predictive modeling, and machine learning methods.
• Strong programming experience in Python, R, SQL, or similar analytic languages.
• Experience working with large, complex, and potentially disparate datasets in enterprise environments.
• Familiarity with model validation, explainability, bias assessment, and performance evaluation techniques.
• Strong written and verbal communication skills with the ability to explain complex technical findings to diverse audiences.
• Active TS/SCI with ability to be approved for a Poly

Preferred Qualifications

• Master’s degree or Ph.D. in a relevant quantitative or technical discipline.
• Experience supporting DoD, IC, DHS, civilian federal agencies, or other government mission environments.
• Experience with deep learning, natural language processing, computer vision, graph analytics, time series analysis, or reinforcement learning.
• Familiarity with cloud platforms, MLOps, DevSecOps, and containerized deployment environments.
• Experience with distributed computing, big data platforms (Spark/Databricks or similar), and workflow orchestration tools.
• Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
• Knowledge of data architecture, data engineering, and enterprise analytics ecosystems.
• Experience briefing senior government leadership and mission stakeholders.

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 - and moving faster than anyone else dares.

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits .

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .