Senior Data Scientist (Supply Chain)

Senior Data Scientist (Supply Chain)

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. 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.

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).
• Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny).
• Theoretical or practical experience in mathematical optimization techniques (e.g. linear and non-linear optimization, mixed integer programming, sensitivity analysis, constraint programming etc.).
• Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, unsupervised learning, clustering / segmentation).
• Effective, clear and compelling communication skills to engage stakeholders and maintain their engagement throughout the process.
• Experience grounding muddy and fuzzy analytics problems 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 opened 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 businesses and customer’s vision and requirements.

Total Benefits

Here are just a few of the benefits you’d enjoy working in this role for Kimberly-Clark. For a complete overview, see

Great support for good health with medical, dental, and vision coverage options with no waiting periods or pre-existing condition restrictions.

Access to an on-site fitness center, occupational health nurse, and allowances for high-quality safety equipment.

Flexible Savings and spending accounts to maximize health care options and stretch dollars when caring for yourself or dependents.

Diverse income protection insurance options to protect yourself and your family in case of illness, injury, or other unexpected events.

Additional programs and support to continue your education, adopt a child, relocate, or even find temporary childcare.

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, check out the career’s website. You’ll want to review this and come prepared with relevant questions when you pass GO and begin interviews.

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.

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.

Primary Location : NO KC SITE - ARGENTINA

Additional Locations : Sao Paulo Office

Worker Type : Employee

Worker Sub-Type : Regular

Time Type : Full time

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