Supply Chain Advanced Analytics Data Scientist

Overview

Supply Chain Advanced Analytics Data Scientist at Kimberly‑Clark. You will work in an environment that promotes sustainability, inclusion, wellbeing, and career development while helping us deliver better care for billions of people around the world. The position offers a salary range of $105,740 – $130,620 USD for US locations and includes eligibility for a target bonus and a comprehensive benefits suite, including a 401(k) and Profit Sharing plan.

• 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.
• Apply strong business acumen to optimize operations and guide supply‑chain analytics strategy and priorities.
• 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.
• Lead end‑to‑end initiatives including process mapping, use‑case identification, and project execution to drive measurable business impact and automation.

• Bachelor’s degree in Supply Chain, Data Science, Data Analytics, Applied Mathematics, Engineering or a related field.
• 5+ years of business experience, including at least 5 years in data science, analytics, and/or data modeling.
• Advanced analytics, data visualization, and reporting dashboard design and development experience.
• Knowledge of or willingness to learn new analytical and automation tools.
• Demonstrated leadership in executing innovative, technology‑driven solutions through strategic problem‑solving, cross‑functional collaboration, and strong analytical thinking.
• 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.

• MBA or MS in Engineering, Data Science, Analytics or a related field.
• Experience with relational database structure and design, SQL, or Snowflake.
• Experience in analytics or data science roles supporting Supply Chain organizations, with a demonstrated ability to leverage data, visualization tools, and advanced analytical methods to drive business outcomes.
• 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.
• Exceptional communication skills, with ability to simplify complex concepts for ease of understanding.
• Good facilitation and presentation skills, including training delivery.
• Ability to mentor Data Analysts and other team members in established best practices.

We believe our employees are our greatest asset and are committed to providing them with the resources they need to be successful. For a complete overview, see

This role is available for local candidates already authorized to work in the role’s country only. Kimberly‑Clark will not provide relocation support for this role.

Kimberly‑Clark is a committed equal‑opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law. The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification.

Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position. Employment is subject to verification of pre‑screening tests which may include drug screening, background check, and DMV check. Veterans and members of the Reserve and Guard are highly encouraged to apply.