Data Scientist - Predictive Analytics

JANSON is a rapidly growing provider of services supporting military customers domestically and abroad. The company is seeking an early-career Data Scientist to support Army logistics through predictive analytics, data science, and emerging artificial intelligence capabilities, including data preparation, model development and evaluation, and analytics product maintenance.

Responsibilities

Model Development Support: 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

Data Preparation and Quality: Clean, validate, organize, and explore structured and unstructured datasets; support feature engineering and routine data-quality checks

Analytics Platform Support: Learn and use Palantir Foundry and related tools to support data pipelines, analyses, dashboards, and reusable analytics products

Model Evaluation: Run approved experiments, compare model performance, document results, and identify issues for review by senior technical staff

Documentation and Training: Draft and update technical documentation, job aids, user guides, and training materials for predictive analytics tools

Product Sustainment: Perform routine updates, testing, version-control activities, and maintenance tasks for existing analytics products and supporting artifacts

Team Collaboration: Participate in technical reviews, working sessions, and customer discussions; communicate progress, questions, and risks to the project team

Preferred

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

Relevant graduate study is a plus

Supply Chain Analytics

Predictive Modeling

Machine Learning

Stochastic Processes

Logistics

Operations Research

Palantir Foundry

Enterprise Data Platforms

Cloud Platforms

Analytics Platforms

Army Logistics

GCSS-Army

FED LOG

Government Data Environments

Dashboard Creation

Report Creation

Data Visualization

Tableau

Power BI

Python Libraries

Integrated Platform Tools

Generative AI

Large Language Models

Agent-Based Workflows

Relevant Graduate Study

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

Company

Communications and facilities firm for military, federal, and commercial spaces

Fairfax, Virginia, USA

https://jansoncom.com/

Founded in 1997

51-200 employees

Qualifications

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

Foundational proficiency in Python and SQL

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

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

Relevant graduate study is a plus

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.

Required skills

Represents the skills you have, click on the tags, SQL, Statistics, Supervised Learning, Model Evaluation, Predictive Analytics, Pandas, Scikit-learn, Palantir Foundry, Secret Security Clearance, Generative AI, Data Visualization

Preferred skills

Relevant graduate study is a plus

Experience

Entry level