Senior Data ScientistKros-Wise • San Diego, CA, USA
Senior Data Scientist
Kros-Wise • San Diego, CA, USA
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job_description.job_card.job_descriptionU.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 : 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) 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
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
Python, R, SQL, and Spark for data analysis and modeling
Additional Preferred Qualifications
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