Data Scientist

**Your Job**

You’re not the person who will settle for just any role. Neither are we. Because we’re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you’ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In your role, you’ll help us deliver better care for billions of people around the world. It starts with YOU.

**About Us**

Huggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands—and so does the rest of the world. In fact, millions of people use Kimberly-Clark products every day. We know these amazing Kimberly-Clark products wouldn’t exist without talented professionals, like you.

At Kimberly-Clark, you’ll be part of the best team committed to driving innovation, growth and impact. We’re founded on 150 years of market leadership, and we’re always looking for new and better ways to perform - so there’s your open door of opportunity. It’s all here for you at Kimberly-Clark; you just need to log on

Led by Purpose. Driven by You.

**About You**

You’re driven to perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development.

You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we’re constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you’ll experience Flex That Works: flexible (hybrid) work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business.

You were made to do this work: designing new technologies, diving into data, optimizing digital experiences, and constantly developing better, faster ways to get results. You want to be part of a performance culture dedicated to building technology for a purpose that matters. You want to work in an environment that promotes sustainability, inclusion, wellbeing, and career development. In your **Data Scien**tist** **role, you’ll help us deliver better care for billions of people around the world.

Kimberly-Clark is on a mission to transform to become a data driven and AI-First company. Our enterprise vision is to embed an algorithm into every K-C decision, process, and product. To support this vision, Kimberly-Clark North America (KCNA) is investing in the growth of our high-performance **Data Science and Advanced Analytics Strategy** **team,** and we are looking for entrepreneurial-minded innovators to join us in our journey.

The purpose of this agile central team is to develop high-risk, high-reward data science solutions that will unlock future growth of analytics-based solutions across the enterprise.

This newly created **individual contributor role** will report to the Data Science Strategy Leader and will build our muscle around **prescriptive** **analytics** capabilities in commercial landscape.

We are looking for individuals that have experience in **Supply Chain**

**Main responsibilities**:

- Work with Data Science Strategy Leader to define data science use cases with a bias towards problems requiring prescriptive analytics, propose potential modeling approaches, assess feasibility, estimate effort and data requirements, draft project plans.
- Build Proof-of-Concept data science models: acquire, cleanse, and harmonize data, analyze, and identify appropriate optimization algorithms, build models that are interpretable, explainable, and sustainable at scale and meets the business needs.
- Engage stakeholders, including product and business teams, through frequent check-ins, progress updates, visualizations, and interactive dashboards designed for non-technical audiences.
- Interpret model outputs, draw actionable insights, present findings, and make recommendations to cross-functional and senior leadership teams.
- Collaborate with Enterprise AI/ML product teams and DTS Delivery teams to scale proven high value Proof-of-Concept models where enterprise certified products are required.

**Key Qualifications and Experiences**:

- 3+ years of experience with hands-on involvement in data science projects (research or consulting experience is a plus; experience in CPG/Retail, Digital Supply Chain, Digital Manufacturing
- A bachelor’s degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Economics, or Mathematics) - An advanced degree in a quantitative field is preferred and will be accepted in lieu of 2 years of experience.
- Proficiency in SQL and any one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA - knowledge of optimization engines such as CPLEX or Gurobi is a plus)
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