Data Scientist

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.

What You’ll Do

• 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.

Who You Are

• Business Translator: You can bridge technical depth and business context, converting data science outputs into clear recommendations.
• Innovative Thinker: You seek out new tools, methods, and AI-enabled approaches to improve insight generation and decision-making.
• Quick Learner: You rapidly absorb new concepts and technologies, adapting easily to changing environments and priorities.
• Collaborative Partner: You work effectively across functions and communicate confidently with technical and non-technical audiences.
• Self-Directed: You take ownership of problems end-to-end and continuously look for opportunities to improve models, processes, and outcomes.
• Analytical and Quantitative: You bring strong statistical, mathematical, and problem-solving skills to complex and ambiguous business questions.

• 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. Master’s Degree holders encouraged.
• 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.

We 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:

• 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

About Marmon Holdings

Marmon 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.

Pay Range

80,000.00 - 120,000.00

We offer a comprehensive benefits package that may include medical, dental, vision, 401k matching, and more!

Following receipt of a conditional offer of employment, candidates will be required to complete additional job-related screening processes as permitted or required by applicable law.

As a part of the global industrial organization Marmon Holdings-which is backed by Berkshire Hathaway-you’ll be doing things that matter, leading at every level, and winning a better way. We’re committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone’s empowered to be their best.