Data Scientist - Supply Chain

Dart Container•Mason, MI

4d•Onsite

About The Position

We’re seeking a Senior Data Scientist to provide advanced analytics and data science support for optimization initiatives, strategic planning, and high‑impact business decisions. In this role, you’ll lead complex data analysis, develop sophisticated models, and translate insights into actionable recommendations that maximize business value, primarily supporting the Supply Chain organization. You’ll partner closely with Analytics leadership and collaborate across Business Units, Sales, Finance, Supply Chain, and IT to deliver accurate, timely, and influential insights—from operational teams to executive leadership.

Requirements

Bachelor’s degree in Mathematics, Business, Economics, Statistics, Computer Science, Data Science, or a related field
Proven advanced experience in business data analytics with a strong record of delivering measurable results
Advanced proficiency with Microsoft Office, cloud‑based computing, and programming using SQL and Python
Hands‑on experience with: Machine learning (supervised and unsupervised methods)
Applied statistical analysis (regression, inferential statistics, time series)
Exploratory data analysis and clustering techniques
Experience using BI platforms and data visualization tools
Ability to adapt quickly to new analytical tools and technologies
Experience with operational excellence, lean methodologies, or continuous improvement initiatives
Strong collaboration, facilitation, and stakeholder‑management skills
Excellent written and verbal communication skills with the ability to explain complex concepts clearly
Proven ability to succeed in a fast‑paced, cross‑functional environment
Results‑oriented mindset with a strong bias for action
Willing to travel up to 20% to various corporate, manufacturing and distribution sites

Nice To Haves

Master’s degree in a related quantitative field
Experience with Power BI, SAP, Salesforce CRM, and/or pricing tools such as PriceFX
Demonstrated business acumen in manufacturing and/or food & beverage packaging industries

Responsibilities

Partner with Analytics leadership to anticipate and address evolving business data and analytics needs
Break down complex business problems into data‑driven analytical frameworks
Clean, integrate, and assess large, complex internal and external datasets (market, customer, competitor, product, import, or company data)
Ensure data accuracy and support enhancements to analytical tools within your area of expertise
Design, develop, and maintain advanced analytical and statistical models
Perform correlation, regression, time‑series, and exploratory analyses to uncover key business drivers
Identify actionable insights that influence strategic and operational decisions
Communicate findings clearly through reports, dashboards, and presentations for technical and non‑technical audiences, including executive leadership
Standardize, optimize, and automate analytical processes
Build and maintain supporting data and information structures
Continuously improve data quality, workflows, and analytical tools