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Data Scientist

Job in Carol Stream, DuPage County, Illinois, 60158, USA
Listing for: Marmon Foodservice Technologies, Inc.
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Marmon Food service Technologies, Inc.

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.
** About the Job
** 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…
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