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JANSON
JANSON
11 – 50 Employees
ConstructionDefenseMarketing
JANSON is a communications-led design and transformation firm serving defense, government, and commercial clients. The company modernizes facilities through integrated design, engineering, construction, site management, fabrication, installation, digital signage, audiovisual systems, and secure NIPR/SIPR environments. Its communications and creative services extend from strategy and video planning to content development, branding, digital marketing, corporate communications, and social media. By connecting the built environment with organizational mission and storytelling, JANSON helps clients create more effective, engaging spaces.
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Early-Career Data Scientist, Predictive Analytics (Remote) - JANSON

Join JANSON’s Army logistics work as an early-career Data Scientist using predictive modeling, Python, SQL, and Palantir Foundry. Help maintain analytics products and develop emerging AI capabilities.

USUnited StatesRemoteFull-timeMiddleSeniorEnglish RequiredData Scientist
CloudPandasPythonScikit-LearnSQLTableau

Description

  • Help senior team members build, test, document, and improve predictive models for equipment readiness, lead-time forecasting, and inventory planning
  • Prepare, validate, organize, and investigate structured and unstructured data
  • Contribute to feature engineering and recurring data-quality reviews
  • Use Palantir Foundry and related tools to build data pipelines, analyses, dashboards, and reusable analytics products
  • Conduct approved experiments, evaluate model results, record findings, and flag issues for senior technical staff
  • Create and maintain technical documentation, job aids, user guides, and training materials
  • Update, test, version, and maintain existing analytics products
  • Take part in technical reviews, working sessions, and customer conversations
  • Report project progress, questions, and risks to the broader team
  • Help advance Army logistics through predictive analytics, data science, and emerging artificial intelligence capabilities

Requirements

  • Bachelor’s degree in data science, data analytics, statistics, computer science, operations research, mathematics, engineering, or a related quantitative discipline
  • 0–3 years of relevant experience, including qualifying internships, academic research, capstone projects, laboratory work, teaching assistance, military service, or applied project work
  • Basic knowledge of statistics, supervised learning, model assessment, and standard predictive analytics processes
  • Practical Python and SQL skills, including familiarity with libraries such as Pandas and Scikit-learn
  • Active Secret clearance, or eligibility and ability to obtain and retain one
  • Capacity to assess defined problems, follow technical direction, resolve routine issues, and seek clarification when needed
  • Ability to document work accurately and present analytical conclusions to technical and nontechnical audiences
  • Familiarity with Palantir Foundry or another enterprise data, cloud, or analytics platform is preferred
  • Exposure to Army logistics, GCSS-Army, FED LOG, or government data settings is preferred
  • Experience developing dashboards, reports, or visualizations with Tableau, Power BI, Python libraries, or integrated platform tools is preferred
  • Academic, project, or practical familiarity with Generative AI, large language models, or agent-based workflows is preferred
  • Foundational Python and SQL proficiency, along with the willingness to learn additional tools, platforms, and techniques
  • Ability to clearly summarize data, methods, assumptions, and findings
  • Ability to follow established procedures, keep accurate records, and complete assigned work with suitable review
  • Willingness to travel up to 20%
  • Ability to collaborate across disciplines, accept feedback, and help develop solutions that combine human expertise with machine intelligence

Benefits

  • Medical and dental coverage
  • Flexible hybrid work arrangements
  • 401(k) plan with matching incentive
  • Short- and long-term disability coverage
  • Life insurance
  • Paid time off
  • Paid holidays
  • Professional development opportunities

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