Lead Data Scientist

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.

This role will be part of Kimberly Clark's International Family Care and Professional (IFP) business—an organization rooted in purpose and innovation that has built a legacy with global impact. As Kimberly-Clark forms a strategic partnership with Suzano to create a world-class international tissue and professional products company, this role is proposed to transfer to the new venture once the transaction closes, anticipated in mid-2026, subject to consultation and other applicable legal requirements. This is a rare opportunity to help shape a new global leader backed by two industry powerhouses. You’ll be part of a high-potential business that combines Kimberly-Clark’s iconic brands and commercial excellence with Suzano’s industrial and sustainability leadership.

In this role, you will :

Lead the design, development, and deployment of advanced analytics and AI solutions that drive business transformation across global markets. You will guide a team of data scientists and collaborate with cross-functional stakeholders to deliver high-impact models and AI products. Your work will span predictive modeling, Generative AI, intelligent agents, and scalable data science pipelines using Databricks, Azure Functions, and Python.

Lead the end-to-end development of machine learning and AI solutions, from problem framing to deployment and monitoring.

Architect and implement scalable pipelines using Databricks, Azure ML, and Azure Functions.

Drive innovation in Generative AI and AI agent applications using frameworks like LangChain, Semantic Kernel, and Hugging Face Transformers.

Mentor and guide a team of data scientists, fostering a culture of experimentation, learning, and delivery excellence.

Partner with business leaders across RGM, Sales, IME, and Supply Chain to identify opportunities and translate them into data science solutions.

Ensure model governance, reproducibility, and compliance with responsible AI principles.

Contribute to the evolution of enterprise data science strategy and best practices.

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 more than 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.

Led by Purpose. Driven by You

About You

You 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 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.

In one of our technical roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. To succeed in this role, you will need the following qualifications :

Key Qualifications and Experiences :

Master’s or PhD in Data Science, Computer Science, Statistics, or related field.

7+ years of experience in data science roles, including 2+ years in a leadership or mentoring capacity.

Deep expertise in Python and its data science ecosystem (pandas, scikit-learn, PyTorch, etc.).

Proven experience with Databricks, Azure ML, and Azure Functions.

Strong background in machine learning, deep learning, and statistical modeling.

Experience building and deploying Generative AI models and AI agents.

Familiarity with Snowflake, SAP data structures, and enterprise data integration.

Excellent communication and stakeholder engagement skills.

Experience in the CPG, healthcare, or B2B / B2C domains.

Knowledge of MLOps, CI / CD for ML, and model monitoring frameworks.

Exposure to vector databases, RAG pipelines, and multi-agent orchestration tools (e.g., CrewAI, AutoGen).

Understanding of data privacy, ethics, and responsible AI frameworks.

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.  We actively seek to build a workforce that reflects 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 pre-screening tests, which may include drug screening, background check, and DMV check.

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