Senior Data Scientist

Job Description

Job Description

We are seeking a highly experienced Senior Data Scientist to lead advanced analytics, machine learning model development, and data-driven decision support within a Department of Defense (DoD) program environment. This role involves architecting and deploying end-to-end data solutions that enhance operational effectiveness, readiness forecasting, and mission-critical insights for Navy enterprise systems.Key ResponsibilitiesDesign, develop, and deploy predictive models, natural language processing (NLP), and optimization algorithmsLead data ingestion, cleaning, transformation, and exploratory analysis from diverse structured and unstructured data sourcesCreate interactive dashboards and visualizations to communicate analytical findings to technical and non-technical audiencesCollaborate with cross-functional teams including software engineers, data engineers, and subject matter expertsTranslate mission needs into analytical frameworks, model requirements, and implementation strategiesValidate and tune models for performance, explainability, and operational relevanceAuthor technical reports, white papers, and decision briefings for stakeholders and senior leadershipMinimum QualificationsU.S. Citizenship with an active or interim Secret clearanceBachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred)10+ years of professional experience in data science and leadership or senior technical roleSecurity+ CertificationProven experience with:Python, R, SQL, and Spark for data analysis and modelingMachine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoostData visualization tools like Power BI, Tableau, or PlotlyCloud platforms (AWS, Azure, or Google Cloud) and MLOps workflowsExperience working with DoD or federal data systems, including handling controlled unclassified information (CUI)Additional Preferred QualificationsExperience developing AI/ML solutions in support of Navy or defense logistics, sustainment, or readiness analyticsFamiliarity with DoD data governance, data labeling, and ethical AI guidelinesStrong understanding of model operationalization, A/B testing, and production monitoringKnowledge of data engineering concepts including ETL pipelines, data lakes, and data mesh architecturesAgile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner)Ability to mentor junior data scientists and lead cross-disciplinary technical teams