Job Description

Join the team behind iconic brands like Huggies®, Kleenex®, Cottonelle®, Scott®, Kotex®, Poise®, Depend®, and Kimberly-Clark Professional® At Kimberly-Clark, it’s all here for you—innovation, growth, and the chance to make a real impact.

You were made to create Better Care for a Better World: as a person, you’re a problem-solver – a connector – someone who thrives on creating order from complexity and driving continuous improvement. You see the big picture while mastering the details, ensuring that every product, process, and partnership flows with precision and purpose. You live your life in alignment with the highest values of integrity, efficiency, and collaboration, always working to turn today’s challenges into tomorrow’s success stories. In this role, you’ll help us deliver better care for billions of people around the world.

It starts with YOU.

About You

In one of our Supply Chain roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center.

• Lead and set the statistical models in the forecasting systems. Identification, framing, prototyping, development, continuous improvement, and socialization of cutting-edge Data models and approaches.

• Build and maintain statistical and machine learning-based demand forecasting models.

• Analyze historical sales data, market trends, and external factors to predict future demand.

• Develop models at multiple levels of aggregation (SKU, region, channel, etc.) across various time horizons.

• Engage with K-C segments and Functions to identify potential advanced data modeling use cases in the area of ownership: lead ideation sessions, frame problem statements, define value propositions, propose modeling approaches, estimate effort and data requirements.

• Measuring forecast accuracy and bias of the statistical models and provide actionable insights to improve forecast reliability via better model selections in the system.

• Influence senior executives by prepare and present KPI dashboard like forecast value add etc.

• Own and prioritize backlog of advanced data modeling use cases gathered across K-C Global, with a focus on complex and high value business problems.

• Build Proof-of-Concept data science model development for segments: acquire, cleanse, and harmonize data, analyze and identify appropriate algorithms, build models that are interpretable, explainable and sustainable at scale and meets the business needs.

• Influence, adopt & socialize Data Science approaches across K-C segments through robust and innovative visualizations, interactive dashboards designed for non-technical audiences.

• Interpret model outputs, draw strategic and actionable insights, present findings and make recommendations to cross-functional and senior leadership teams.

• Manage demand planning tools and systems (e.g…Kinaxis etc).

• Identify continuous improvement of forecasting processes and digital capabilities.

• Support planning community in terms forecast value add and drive usage of system vs manual forecasting and provide input for Data modeling vision, strategy and execution plans across K-C global segments/Bus.

• Build a community and strengthen culture among functionally embedded K-C Global data scientists and data modeling enthusiasts by being a thought partner and mentor, establish analytical rigor, share data science best practices and provide hands-on support based on the individual’s needs.

• Contribute to long-range planning and scenario modeling.

• Support global initiatives to harmonize demand forecasting/modeling processes across regions.

• Collaborate with Enterprise AI/ML, DTS Delivery teams to implement data science intake process and governance.

To succeed in this role, you will need the following qualifications:

Required Qualifications

• A bachelor’s degree in a quantitative / statistical 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.

• 7+ years of experience with hands-on involvement in data modeling, statistical forecasting or data science projects (consulting experience is a plus; experience in CPG/Retail, Demand Planning, Category Management, Digital Marketing, Revenue Management, or Supply Chain preferred). Proficiency in any programming language (e.g. R, Python, C++, MiniTab, SAS, Matlab, VBA).

• Proficiency with any data visualization software (e.g. Tableau, Qlik, Power BI, D3, Shiny).

• Demonstrated experience with practical applications of advanced forecasting (e.g. time series models, ARIMA, TBATS, XGBoost) or mining large first party datasets (e.g. churn, CLV, up/cross sell, shrinkage methods, clustering, random forests) [NNs and deep/reinforcement learning familiarity is a plus, but not required].

• Experience grounding muddy and fuzzy analytics problems by engaging with stakeholders with an open, inquisitive mind to seek information and challenge the status quo.

• Comfort in making reasonable assumptions to push forward when faced with less than complete data, known and unknown unknowns, in a fail-fast fail-forward environment.

• Very strong academic curiosity to research and learn new approaches, thrive in a culture of innovation, be open to challenge, and be challenged.

• Self-starter who can see the big picture, look ahead to identify opportunities and prioritize your work to make the largest impact on the business’ and customer’s vision and requirements.

• Demand Planning experience is a plus.

• Kinaxis Rapid Response Planning system experience is a plus.

Led by Purpose. Driven by You.

To Be Considered
Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role.

In the meantime, please check out the careers website.

And finally, the fine print….

For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world, which is why we seek to build a workforce that encompasses the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are 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 local policies.

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.

#LI-Hybrid

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