Senior Data Scientist

Senior Data Scientist

Job Description

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 this role, you’ll help us deliver better care for billions of people around the world.

It starts with YOU. 

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 Scientist 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 one or more of the following focus areas:


* Strategic pricing optimization


* Revenue growth management


* Advanced marketing measurement and optimization


* Zero- and first-party consumer datasets


* Demand planning, forecasting and S&OP

In this role, you will:


* 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 sen...