Senior Data Scientist at Kros-Wise – San Diego | Jobyssey

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
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

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