{"id":1718885,"url":"https://alion.io/job/marmon-data-scientist","title":"Data Scientist","company":{"id":5432,"name":"Marmon Holdings","domain":"marmon.com","url":"https://alion.io/company/marmon","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":97,"ghost_share":0,"stale_share":0.897,"repost_share":0,"time_to_fill_p50_days":39,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Carol Stream, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":80000,"max_usd":175000,"period":"year","method":"role_country_seniority_unknown","sample_n":3718},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Copilot","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-24T00:00:00Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-11-05T22:07:38Z","board_verified":true,"closed_at":null,"days_open":74,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":74},"description":"Marmon Foodservice Technologies, Inc.As a part of the global industrial organization Marmon Holdings-which is backed by Berkshire Hathaway-you’llbe doing things that matter, leading at every level, and winning a better way. We’recommitted to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone’sempowered to be their best.\nAbout the Job\nThis role is a core contributor within the Commercial Analytics organization, supporting enterprise-level decision making across pricing, equipment lifecycle performance, customer behavior, and commercial strategy. The Data Scientist partners closely with Commercial Analytics leadership and cross-functional stakeholders to convert business questions into advanced analytical, machine learning, and AI-enabled solutions. By combining strong quantitative rigor with the ability to translate insights into practical recommendations, this role strengthens the Commercial Analytics function’s mandate to deliver scalable, decision-ready intelligence that drives growth, profitability, and continuous improvement across the commercial lifecycle.\nThis role plays a critical part in advancing analytics across pricing, service/aftermarket, and go-to-market (GTM) decisioning. By integrating commercial, operational, and customer data, this role enables a more connected, end-to-end view of the commercial lifecycle-supporting data-driven decisions across acquisition, utilization, service, and replacement.\nThis role is subject to our hybrid work model: we collaborate in the office on Monday, Tuesday, and Thursday. The rest of the week, you have flexibility to work wherever it suits you best.\nWhat You’ll Do\nTranslate business requirements into analytical, machine learning, and GenAI / Agentic AI solutions, ensuring outputs are decision-ready, actionable, and accurate.\n\nIntegrate and analyze large, complex datasets from multiple disparate internal and external sources, ensuring data quality, consistency, and analytical rigor.\n\nDesign and automate predictive, explanatory, and optimization models, including forecasting, segmentation, and scenario modeling.\n\nPartner with stakeholders to define KPIs, success metrics, and measurement frameworks that align analytics with business outcomes.\n\nDevelop and test project-specific data engineering pipelines via API inputs, ingestion/clean-up scripts, for use in visualizations and explanatory, predictive, and optimized models. Act as key SME partner for IT Data Engineering team to seamlessly hand-off proposed pipeline structure for inclusion in enterprise Data Lake/Data Warehouse as needed.\n\nDevelop, deploy, and maintain statistical, machine learning, and AI-enabled models to solve business problems across pricing, lifecycle performance, customer behavior, operations, and commercial strategy.\n\nLeverage generative AI and agent-based approaches to accelerate insight generation, pattern detection, and analytical workflows.\n\nCommunicate complex analytical findings clearly through dashboards, visualizations, and executive level presentations using tools such as Power Bi or similar platforms.\n\nCollaborate with analytics, data engineering, and business teams to continuously improve analytical systems, models, and processes.\n\nWho You Are\nBusiness Translator: You can bridge technical depth and business context, converting data science outputs into clear recommendations.\n\nInnovative Thinker: You seek out new tools, methods, and AI-enabled approaches to improve insight generation and decision-making.\n\nQuick Learner: You rapidly absorb new concepts and technologies, adapting easily to changing environments and priorities.\n\nCollaborative Partner: You work effectively across functions and communicate confidently with technical and non-technical audiences.\n\nSelf-Directed: You take ownership of problems end-to-end and continuously look for opportunities to improve models, processes, and outcomes.\n\nAnalytical and Quantitative: You bring strong statistical, mathematical, and problem-solving skills to complex and ambiguous business questions.\n\nSkills / Experience We’re Looking For\nAbility to design analytical approaches that align with business objectives, constraints, and success metrics.\n\nStrong foundation in statistics, probability, and quantitative analysis, including descriptive and inferential techniques.\n\nFamiliarity with Generative AI and agent-based AI concepts and their application to business analytics and decision support. Hands-on usage of Microsoft Copilot tools (e.g., Copilot for M365, Copilot Studio, or embedded Copilot experiences) to accelerate analysis, code generation, and insight synthesis, and embed AI-assisted analytics into business workflows\n\nExperience working within the Microsoft data (Fabric, PowerBI) and AI stack (Azure AI, Azure Machine Learning, AI Foundry)\n\nProficiency in data visualization and storytelling using Power BI, others.\n\nExperience working with real world, imperfect datasets and applying sound data preparation and feature engineering techniques.\n\nExperience with MS Azure or MS Fabric being a plus, or any cloud-computing environment.\n\nStrong written, verbal, and presentation skills with the ability to influence decision makers.\n\nRequired Qualifications\nBachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field. Master’s Degree holders encouraged.\n\nAdvanced proficiency in Python for data analysis, modeling, and automation. Strong experience building and validating machine learning models using Python/R and libraries such as pandas, scikit-learn, or equivalent.\n\nStrong SQL skills for querying, joining, and optimizing large relational datasets\n\nExperience in data-driven analytics or data science roles, applying quantitative methods to business problems and translating business requirements into analytical solutions.\n\nApplicants for this position must be legally authorized to work in the United States, and employer sponsorship of visas is not available.\nBenefits\nWe support your wellbeing with comprehensive and easy-to-use benefits that you’ll be eligible to enroll in on your first day of employment. Here are some of the highlights:\nMedical, Dental, Vision, and Prescription Drug insurance plans\n\nAccess to a Health Advocate who is an expert in Marmon’s health plan\n\nTax-advantaged spending accounts for health and dependent care expenses\n\nWellness programs including Telehealth, Mental Health, Fitness, and Family Planning\n\nGenerous paid time off, holidays, and parental leave\n\nCompany-sponsored life insurance\n\n401(k) with fully vested company match; Marmon may also make an additional annual discretionary contribution to your account, whether or not you contribute on your own\n\nFinancial and retirement advising\n\nAbout Marmon Holdings\nMarmon Holdings, Inc., a Berkshire Hathaway company, comprises 11 groups and more than 100 autonomous businesses with total annual revenue of $10 billion. Marmon’s 28,000-plus team members are celebrating the company's 70th anniversary in 2023 and helping write the next chapter of Marmon's story.\nPay Range:\n80,000.00 - 120,000.00We offer a comprehensive benefits package that may include medical, dental, vision, 401k matching, and more!\nFollowing receipt of a conditional offer of employment, candidates will be required to complete additional job-related screening processesas permitted or required by applicable law.\nWe are an equal opportunity employer, and all applicants will be considered for employment without attention to their membership in any protected class. 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