The Data Scientist-Predictive Analytics will serve as a key member of JANSON’s the evolution of Army logistics by developing, implementing, and sustaining intelligent agentic systems and predictive models. Responsible for leveraging a strong academic foundation, the candidate will utilize platforms like Palantir Foundry to transform raw supply chain data and unstructured maintenance records into actionable foresight. This leader will serve as a key point of the transition from academic theory to operational execution, bridging the gap between traditional supervised learning and modern Generative AI (GenAI) to solve complex logistics challenges in real-time. 

The ideal candidate is all contractor personnel shall possess an active Secret security clearance or be eligible for and able to obtain and maintain a Secret clearance. Personnel without an active clearance may perform unclassified preparatory work while clearance processing is underway.. 

Key Responsibilities

• Model Development: Assist the principal data scientist in developing and tuning predictive models (e.g., predicting equipment failure, estimating lead times, or optimizing inventory levels). 
• Data Engineering Support: Assist in data validation, feature engineering, and quality checks on large-scale Army datasets to ensure model integrity. 
• Palantir Integration: Progressively develop expert-level skills in Palantir Foundry to build, update, and reuse predictive dashboards. 
• Training & Documentation: Help develop and update training materials, job aids, and technical documentation for predictive tools to ensure      institutional adoption. 
• Sustainment: Support the reuse and long-term maintenance of analytics products and sustainment artifacts. 

Minimum Qualifications

• Master’s Degree (or near completion) in Data Analytics or a related quantitative field. 
• 0–2 years of relevant experience (including significant graduate-level research, labs, teaching or internships). 
• Strong Foundational Knowledge: Deep understanding of supervised learning algorithms, statistical inference, and predictive modeling      workflows. 
• Tooling: Demonstrated proficiency in Python-based data science stacks (e.g., Pandas, Scikit-learn) and SQL. 
• Documentation: High attention to detail in technical writing and version control.

Preferred Qualifications

• Specialized Coursework: Graduate-level focus on Supply Chain Analytics, Stochastic Processes, or Predictive Modeling. 
• Platform Exposure: Prior experience with Palantir Foundry or similar      enterprise data platforms. 
• Military Context: Familiarity with Army logistics data (e.g.,      GCSS-Army, FED LOG) or prior military/government exposure. 
• Visualization: Experience creating compelling data stories using Tableau, Power BI, or integrated      platform tools. 

• Secret Security Clearance: Active or eligibility to obtain and maintain. 
• Technical Proficiency: Advanced academic or professional experience in Python and SQL. 
• Analytical Communication: Ability to translate complex statistical and probabilistic AI outputs into clear, actionable insights for military and civilian decision-makers. 
• Operational Agility: Willingness to travel up to 20% for in-person training and operational support. 
• Collaborative Mindset: Capable of working within multi-disciplinary teams to pair human expertise with machine intelligence.