Data Scientist – Predictive Analytics

Summary

JANSON delivers services supporting military customers domestically and abroad. The Data Scientist – Predictive Analytics will support Army logistics through data preparation, predictive model development and evaluation, analytics platform support, and maintenance of products that inform logistics and sustainment decisions.

Responsibilities

• Assist senior team members with building, testing, documenting, and refining predictive models for use cases such as equipment readiness, lead-time estimation, and inventory planning
• Clean, validate, organize, and explore structured and unstructured datasets; support feature engineering and routine data-quality checks
• Learn and use Palantir Foundry and related tools to support data pipelines, analyses, dashboards, and reusable analytics products
• Run approved experiments, compare model performance, document results, and identify issues for review by senior technical staff
• Draft and update technical documentation, job aids, user guides, and training materials for predictive analytics tools
• Perform routine updates, testing, version-control activities, and maintenance tasks for existing analytics products and supporting artifacts
• Participate in technical reviews, working sessions, and customer discussions; communicate progress, questions, and risks to the project team

Skills

• The candidate must possess an active Secret security clearance or be eligible and able to obtain and maintain one
• Bachelor's degree in Data Science, Data Analytics, Statistics, Computer Science, Operations Research, Mathematics, Engineering, or a related quantitative field
• 0–3 years of relevant experience. Internships, academic research, capstone projects, laboratory work, teaching assistance, military experience, or other applied project work may count toward this requirement
• Foundational understanding of statistics, supervised learning, model evaluation, and common predictive analytics workflows
• Working knowledge of Python and SQL, including experience with common libraries such as Pandas and Scikit-learn gained through coursework or applied projects
• Ability to analyze defined problems, follow technical guidance, troubleshoot routine issues, and ask appropriate questions when support is needed
• Ability to clearly document work and explain analytical findings to technical and nontechnical audiences
• Active clearance or eligibility to obtain and maintain one
• Foundational proficiency in Python and SQL, with the ability and willingness to learn additional tools, platforms, and methods
• Ability to summarize data, methods, assumptions, and results in clear language for technical and operational stakeholders
• Ability to follow established processes, maintain accurate documentation, and complete assigned work with appropriate review
• Ability to work effectively within multidisciplinary teams, receive feedback, and contribute to solutions that pair human expertise with machine intelligence
• Relevant graduate study is a plus
• Coursework, research, or project experience in supply chain analytics, predictive modeling, machine learning, stochastic processes, logistics, or operations research
• Familiarity with Palantir Foundry or another enterprise data, cloud, or analytics platform
• Exposure to Army logistics concepts, GCSS-Army, FED LOG, or government data environments
• Experience creating dashboards, reports, or data visualizations using Tableau, Power BI, Python libraries, or integrated platform tools
• Academic, project, or practical exposure to Generative AI, large language models, or agent-based workflows

Qualifications

Must Haves

• The candidate must possess an active Secret security clearance or be eligible and able to obtain and maintain one
• Bachelor's degree in Data Science, Data Analytics, Statistics, Computer Science, Operations Research, Mathematics, Engineering, or a related quantitative field
• 0–3 years of relevant experience. Internships, academic research, capstone projects, laboratory work, teaching assistance, military experience, or other applied project work may count toward this requirement
• Foundational understanding of statistics, supervised learning, model evaluation, and common predictive analytics workflows
• Working knowledge of Python and SQL, including experience with common libraries such as Pandas and Scikit-learn gained through coursework or applied projects
• Ability to analyze defined problems, follow technical guidance, troubleshoot routine issues, and ask appropriate questions when support is needed
• Ability to clearly document work and explain analytical findings to technical and nontechnical audiences
• Active clearance or eligibility to obtain and maintain one
• Foundational proficiency in Python and SQL, with the ability and willingness to learn additional tools, platforms, and methods
• Ability to summarize data, methods, assumptions, and results in clear language for technical and operational stakeholders
• Ability to follow established processes, maintain accurate documentation, and complete assigned work with appropriate review
• Ability to work effectively within multidisciplinary teams, receive feedback, and contribute to solutions that pair human expertise with machine intelligence

Nice to Haves

• Relevant graduate study is a plus
• Coursework, research, or project experience in supply chain analytics, predictive modeling, machine learning, stochastic processes, logistics, or operations research
• Familiarity with Palantir Foundry or another enterprise data, cloud, or analytics platform
• Exposure to Army logistics concepts, GCSS-Army, FED LOG, or government data environments
• Experience creating dashboards, reports, or data visualizations using Tableau, Power BI, Python libraries, or integrated platform tools
• Academic, project, or practical exposure to Generative AI, large language models, or agent-based workflows

Benefits

• Medical and dental benefits
• Hybrid work flexibility
• 401K with matching incentive
• Short and Long-term disability
• Life insurance
• PTO
• Paid holidays
• Professional development opportunities