Data Scientist - Predictive Analytics

Description:

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.

Requirements:

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.