Salesforce Developer

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 Expert Level 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., Research Equities Metadata Automation Innovation Data Store Ontologies Scalability Market Data Linguistics Data Science Data Analysis Data Pipelines Knowledge Graph Ancient History Machine Learning Data Engineering Russian Language Critical Thinking Unstructured Data Advanced Analytics Feature Extraction Statistical Methods Workflow Automation Pattern Recognition Statistical Analysis Imagery Intelligence Quantitative Analysis ArcGIS (GIS Software) Artificial Intelligence Geospatial Intelligence R (Programming Language) Data-Structured Language SQL (Programming Language) Spatial Data Infrastructures Python (Programming Language) Natural Language Processing (NLP) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0

Salesforce Developer Senior Data Scientist (SOM) - TS/SCI cleared Leidos Springfield, VA*On-Site Equities Leadership Management Innovation Ontologies Market Data Data Quality Data Science Data Analysis Data Pipelines Remote Sensing Version Control Data Management Data Collection Ad Hoc Analysis Data Conversion Digital Mapping Type Conversion Ancient History Database Systems Unstructured Data Cloud Applications Coordinate Systems Workflow Management Workflow Automation Quantitative Analysis ArcGIS (GIS Software) Artificial Intelligence R (Programming Language) SQL (Programming Language) Java (Programming Language) Business Intelligence Tools Cloud Computing Architecture Feature Manipulation Engines Python (Programming Language)

Computer Science Machine Learning Model Validation Data Engineering Data Architecture Unstructured Data Anomaly Detection Data Exploitation Advanced Analytics Operationalization Workflow Management Predictive Modeling Experimental Design Feature Engineering Software Engineering Statistical Modeling Predictive Analytics Scientific Computing Performance Appraisal 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., Planning Equities DevSecOps Leadership Management Mentorship Governance Innovation Statistics TensorFlow Mathematics Scalability Peer Review Market Data Goal Setting Data Science Data Sharing Cryptography Communication Data Analysis Data Security Apache Hadoop Data Pipelines Responsible AI Test Automation Microsoft Azure Problem Solving Data Governance Data Encryption Ancient History Computer Science Machine Learning Model Validation Data Engineering Product Planning Agile Methodology Project Management Performance Metric Data Visualization Workforce Planning Amazon Web Services Predictive Modeling Feature Engineering Operationalizing AI Statistical Modeling Top Secret Clearance Predictive Analytics Performance Appraisal Programming Languages Performance Management Cloud-Native Computing Artificial Intelligence Concept Drift Detection R (Programming Language) SQL (Programming Language) Machine Learning Algorithms Python (Programming Language) Scikit-Learn (Python Package) Continuous Improvement Process PyTorch (Machine Learning Library) Tableau (Business Intelligence Software) Secret Internet Protocol Router Network (SIPRNet)

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 .