Senior Data Scientist

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., * Design, develop, and deploy predictive models, natural language processing (NLP), and optimization algorithms

• Lead data ingestion, cleaning, transformation, and exploratory analysis from diverse structured and unstructured data sources
• Create interactive dashboards and visualizations to communicate analytical findings to technical and non-technical audiences
• Collaborate with cross-functional teams including software engineers, data engineers, and subject matter experts
• Translate mission needs into analytical frameworks, model requirements, and implementation strategies
• Validate and tune models for performance, explainability, and operational relevance
• Author technical reports, white papers, and decision briefings for stakeholders and senior leadership

• U.S. Citizenship with an active or interim Secret clearance
• Bachelor’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 role
• Security+ Certification
• Proven experience with:
• Python, R, SQL, and Spark for data analysis and modeling
• Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost
• Data visualization tools like Power BI, Tableau, or Plotly
• Cloud platforms (AWS, Azure, or Google Cloud) and MLOps workflows
• Experience working with DoD or federal data systems, including handling controlled unclassified information (CUI)

Additional Preferred Qualifications

• Experience developing AI/ML solutions in support of Navy or defense logistics, sustainment, or readiness analytics
• Familiarity with DoD data governance, data labeling, and ethical AI guidelines
• Strong understanding of model operationalization, A/B testing, and production monitoring
• Knowledge of data engineering concepts including ETL pipelines, data lakes, and data mesh architectures
• Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner)
• Ability to mentor junior data scientists and lead cross-disciplinary technical teams