{"schemaVersion":"jobsearcher.job.v1","id":"7c391fc0478ed1feaa65c98d","url":"https://jobsearcher.com/jobs/7c391fc0478ed1feaa65c98d","canonicalUrl":"https://jobsearcher.com/jobs/7c391fc0478ed1feaa65c98d","title":"Data Scientist – Predictive Analytics","description":"JANSON, named Inc. 5000 (2026) as one of the fastest growing privately held business, is recognized for delivering excellent service for the military customers we support both domestically and abroad.\n\nThe Data Scientist – Predictive Analytics will support JANSON’s work to advance Army logistics through predictive analytics, data science, and emerging artificial intelligence capabilities. Working under the guidance of senior data scientists and technical leads, the individual will assist with preparing data, developing and evaluating models, and maintaining analytics products that support logistics and sustainment decisions. This role is designed for an early-career professional who is ready to apply foundational academic, internship, research, or professional experience in an operational environment while building proficiency with platforms such as Palantir Foundry, supervised learning methods, and Generative AI (GenAI) tools.\n\nThe candidate must possess an active Secret security clearance or be eligible and able to obtain and maintain one. A candidate without an active clearance may perform authorized unclassified preparatory work while clearance processing is underway.\n\nKey Responsibilities\n\nModel 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.\nData Preparation and Quality: Clean, validate, organize, and explore structured and unstructured datasets; support feature engineering and routine data-quality checks.\nAnalytics Platform Support: Learn and use Palantir Foundry and related tools to support data pipelines, analyses, dashboards, and reusable analytics products.\nModel Evaluation: Run approved experiments, compare model performance, document results, and identify issues for review by senior technical staff.\nDocumentation and Training: Draft and update technical documentation, job aids, user guides, and training materials for predictive analytics tools.\nProduct Sustainment: Perform routine updates, testing, version-control activities, and maintenance tasks for existing analytics products and supporting artifacts.\nTeam Collaboration: Participate in technical reviews, working sessions, and customer discussions; communicate progress, questions, and risks to the project team.\n\nMinimum Qualifications\n\nEducation: Bachelor’s degree in Data Science, Data Analytics, Statistics, Computer Science, Operations Research, Mathematics, Engineering, or a related quantitative field. Relevant graduate study is a plus.\nExperience: 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.\nData Science Fundamentals: Foundational understanding of statistics, supervised learning, model evaluation, and common predictive analytics workflows.\nProgramming: Working knowledge of Python and SQL, including experience with common libraries such as Pandas and Scikit-learn gained through coursework or applied projects.\nProblem Solving: Ability to analyze defined problems, follow technical guidance, troubleshoot routine issues, and ask appropriate questions when support is needed.\nCommunication: Ability to clearly document work and explain analytical findings to technical and nontechnical audiences.\n\nPreferred Qualifications\n\nRelevant Coursework or Projects: Coursework, research, or project experience in supply chain analytics, predictive modeling, machine learning, stochastic processes, logistics, or operations research.\nPlatform Exposure: Familiarity with Palantir Foundry or another enterprise data, cloud, or analytics platform.\nGovernment or Military Context: Exposure to Army logistics concepts, GCSS-Army, FED LOG, or government data environments.\nData Visualization: Experience creating dashboards, reports, or data visualizations using Tableau, Power BI, Python libraries, or integrated platform tools.\nEmerging AI: Academic, project, or practical exposure to Generative AI, large language models, or agent-based workflows.\n\nJob Requirements:\n\nSecret Security Clearance: Active clearance or eligibility to obtain and maintain one.\nTechnical Foundation: Foundational proficiency in Python and SQL, with the ability and willingness to learn additional tools, platforms, and methods.\nAnalytical Communication: Ability to summarize data, methods, assumptions, and results in clear language for technical and operational stakeholders.\nAttention to Detail: Ability to follow established processes, maintain accurate documentation, and complete assigned work with appropriate review.\nOperational Agility: Willingness to travel up to 20% for training, customer support, and project activities.\nCollaborative Mindset: Ability to work effectively within multidisciplinary teams, receive feedback, and contribute to solutions that pair human expertise with machine intelligence.\n\n Benefits at JANSON\nJANSON provides a competitive benefits package with all the things we love and need:\n\nMedical and dental benefits\nHybrid work flexibility\n401K with matching incentive\nShort and Long-term disability\nLife insurance\nPTO\nPaid holidays\nProfessional development opportunities\nWe are committed to providing reasonable accommodation to qualified individuals with disabilities. Contact hr@jansoncom.com for assistance.JANSON is an equal opportunity employer","company":"Janson","rawCompany":"janson","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-28T11:52:47.139Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2031.00","title":"Operations Research Analysts","slug":"operations-research-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"928110","title":"National Security","slug":"national-security"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist – Predictive Analytics","description":"JANSON, named Inc. 5000 (2026) as one of the fastest growing privately held business, is recognized for delivering excellent service for the military customers we support both domestically and abroad.\n\nThe Data Scientist – Predictive Analytics will support JANSON’s work to advance Army logistics through predictive analytics, data science, and emerging artificial intelligence capabilities. Working under the guidance of senior data scientists and technical leads, the individual will assist with preparing data, developing and evaluating models, and maintaining analytics products that support logistics and sustainment decisions. This role is designed for an early-career professional who is ready to apply foundational academic, internship, research, or professional experience in an operational environment while building proficiency with platforms such as Palantir Foundry, supervised learning methods, and Generative AI (GenAI) tools.\n\nThe candidate must possess an active Secret security clearance or be eligible and able to obtain and maintain one. A candidate without an active clearance may perform authorized unclassified preparatory work while clearance processing is underway.\n\nKey Responsibilities\n\nModel 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.\nData Preparation and Quality: Clean, validate, organize, and explore structured and unstructured datasets; support feature engineering and routine data-quality checks.\nAnalytics Platform Support: Learn and use Palantir Foundry and related tools to support data pipelines, analyses, dashboards, and reusable analytics products.\nModel Evaluation: Run approved experiments, compare model performance, document results, and identify issues for review by senior technical staff.\nDocumentation and Training: Draft and update technical documentation, job aids, user guides, and training materials for predictive analytics tools.\nProduct Sustainment: Perform routine updates, testing, version-control activities, and maintenance tasks for existing analytics products and supporting artifacts.\nTeam Collaboration: Participate in technical reviews, working sessions, and customer discussions; communicate progress, questions, and risks to the project team.\n\nMinimum Qualifications\n\nEducation: Bachelor’s degree in Data Science, Data Analytics, Statistics, Computer Science, Operations Research, Mathematics, Engineering, or a related quantitative field. Relevant graduate study is a plus.\nExperience: 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.\nData Science Fundamentals: Foundational understanding of statistics, supervised learning, model evaluation, and common predictive analytics workflows.\nProgramming: Working knowledge of Python and SQL, including experience with common libraries such as Pandas and Scikit-learn gained through coursework or applied projects.\nProblem Solving: Ability to analyze defined problems, follow technical guidance, troubleshoot routine issues, and ask appropriate questions when support is needed.\nCommunication: Ability to clearly document work and explain analytical findings to technical and nontechnical audiences.\n\nPreferred Qualifications\n\nRelevant Coursework or Projects: Coursework, research, or project experience in supply chain analytics, predictive modeling, machine learning, stochastic processes, logistics, or operations research.\nPlatform Exposure: Familiarity with Palantir Foundry or another enterprise data, cloud, or analytics platform.\nGovernment or Military Context: Exposure to Army logistics concepts, GCSS-Army, FED LOG, or government data environments.\nData Visualization: Experience creating dashboards, reports, or data visualizations using Tableau, Power BI, Python libraries, or integrated platform tools.\nEmerging AI: Academic, project, or practical exposure to Generative AI, large language models, or agent-based workflows.\n\nJob Requirements:\n\nSecret Security Clearance: Active clearance or eligibility to obtain and maintain one.\nTechnical Foundation: Foundational proficiency in Python and SQL, with the ability and willingness to learn additional tools, platforms, and methods.\nAnalytical Communication: Ability to summarize data, methods, assumptions, and results in clear language for technical and operational stakeholders.\nAttention to Detail: Ability to follow established processes, maintain accurate documentation, and complete assigned work with appropriate review.\nOperational Agility: Willingness to travel up to 20% for training, customer support, and project activities.\nCollaborative Mindset: Ability to work effectively within multidisciplinary teams, receive feedback, and contribute to solutions that pair human expertise with machine intelligence.\n\n Benefits at JANSON\nJANSON provides a competitive benefits package with all the things we love and need:\n\nMedical and dental benefits\nHybrid work flexibility\n401K with matching incentive\nShort and Long-term disability\nLife insurance\nPTO\nPaid holidays\nProfessional development opportunities\nWe are committed to providing reasonable accommodation to qualified individuals with disabilities. Contact hr@jansoncom.com for assistance.JANSON is an equal opportunity employer","datePosted":"2026-10-28T11:52:47.139Z","dateModified":"2026-10-28T11:52:47.139Z","hiringOrganization":{"@type":"Organization","name":"Janson","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7c391fc0478ed1feaa65c98d"},"url":"https://jobsearcher.com/jobs/7c391fc0478ed1feaa65c98d"}}