Data Scientist

Marmon Holdings, Inc. • Carol Stream, IL

17d • Hybrid

About The Position

This 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. This 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. This 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.

Requirements

• Ability to design analytical approaches that align with business objectives, constraints, and success metrics.
• Strong foundation in statistics, probability, and quantitative analysis, including descriptive and inferential techniques.
• Familiarity 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
• Experience working within the Microsoft data (Fabric, PowerBI) and AI stack (Azure AI, Azure Machine Learning, AI Foundry)
• Proficiency in data visualization and storytelling using Power BI, others.
• Experience working with real world, imperfect datasets and applying sound data preparation and feature engineering techniques.
• Experience with MS Azure or MS Fabric being a plus, or any cloud-computing environment.
• Strong written, verbal, and presentation skills with the ability to influence decision makers.
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
• Advanced 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.
• Strong SQL skills for querying, joining, and optimizing large relational datasets
• Experience in data‑driven analytics or data science roles, applying quantitative methods to business problems and translating business requirements into analytical solutions.

Responsibilities

• Translate business requirements into analytical, machine learning, and GenAI / Agentic AI solutions, ensuring outputs are decision-ready, actionable, and accurate.
• Integrate and analyze large, complex datasets from multiple disparate internal and external sources, ensuring data quality, consistency, and analytical rigor.
• Design and automate predictive, explanatory, and optimization models, including forecasting, segmentation, and scenario modeling.
• Partner with stakeholders to define KPIs, success metrics, and measurement frameworks that align analytics with business outcomes.
• Develop 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.
• Develop, deploy, and maintain statistical, machine learning, and AI-enabled models to solve business problems across pricing, lifecycle performance, customer behavior, operations, and commercial strategy.
• Leverage generative AI and agent-based approaches to accelerate insight generation, pattern detection, and analytical workflows.
• Communicate complex analytical findings clearly through dashboards, visualizations, and executive level presentations using tools such as Power Bi or similar platforms.
• Collaborate with analytics, data engineering, and business teams to continuously improve analytical systems, models, and processes.

Benefits

• Medical, Dental, Vision, and Prescription Drug insurance plans
• Access to a Health Advocate who is an expert in Marmon’s health plan
• Tax-advantaged spending accounts for health and dependent care expenses
• Wellness programs including Telehealth, Mental Health, Fitness, and Family Planning
• Generous paid time off, holidays, and parental leave
• Company-sponsored life insurance
• 401(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
• Financial and retirement advising

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees