Supply Chain Advanced Analytics Data Scientist

Kimberly-Clark

Supply Chain Advanced Analytics Data Scientist at Kimberly-Clark focusing on data insights and decision making. Leveraging advanced analytics to improve supply chain efficiency and outcomes.

Posted 7/9/2026full-timeNeenah • Illinois, Wisconsin • 🇺🇸 United StatesMid-LevelSenior💰 $105,740 - $130,620 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Leverage advanced analytics and visualization tools (Power BI, Celonis) to translate complex data into actionable supply chain insights
Lead the development and deployment of analytical models to enable data-driven decision making across the end-to-end supply chain
Analyze large datasets to identify optimization opportunities and develop scalable metrics, KPIs, and statistical models
Partner cross-functionally to build a robust data foundation using tools such as SQL, Snowflake, HANA VDMs, and Power BI

Requirements

What you’ll need

Bachelor's degree in Supply Chain, Data Science, Data Analytics, Applied Mathematics, Engineering or related field
5+ years of business experience, including 5+ years working experience in data science, analytics and/or data modeling
Advanced analytics, data visualization, and reporting dashboard design and development experience
Strong technical/analytic skills and experience in multiple platforms such as Excel, SAP/S4, Data Warehouse reporting, Celonis, Power BI, Power Platform, HANA VDMs, Snowflake
3+ years of experience using various programming languages (R, Python etc.) to develop and apply advanced cognitive or machine learning methods and algorithms to address Supply Chain and Business problems.

Benefits

Comp & perks

Comprehensive benefits suite
401(k) and Profit Sharing plan
Eligibility for a target bonus

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data ModelingStatistical ModelsKPI DevelopmentMachine LearningProgramming Languages (R, Python)

Soft Skills

Analytic SkillsCross-Functional Collaboration