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 Responsibilities
- 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
Minimum Qualifications
- U.S. Citizenship with an active or interim Secret clearance
- Bachelors 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
Required Experience:
Senior IC