Data Science Strategy Lead

Kimberly-Clark • Atlanta, GA

22h • Hybrid

About The Position

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. The purpose of this agile central team is to deliver high-impact data science solutions and unlock future growth of next-gen advanced analytics solutions across the enterprise. This individual contributor role will report to the Associate Director of Data Science Strategy and will have 2 high level responsibilities: (1) End-to-end delivery of prioritized Data Science use cases in conjunction with larger agile Data Science product team (2) Systematic democratization and enablement of data science products and related business insights/recommendations The incumbent will have very high visibility to all levels of the organization by working on some of the high profile and rewarding business opportunities we have in the commercial domain including but not limited to strategic pricing optimization, revenue growth management, trade promotion optimization, Zero- and first-party consumer datasets, sales ops and strategic decisions. In this role, you will: Work with Data Science Strategy Leadership to define data science use cases, propose potential modeling approaches, assess feasibility, estimate effort and data requirements, draft project plans. Build Proof-of-Concept data science models utilizing K-C’s Microsoft cloud stack: acquire, cleanse, and harmonize data, analyze, and identify appropriate modeling techniques, 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. 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 (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. In one of our professional roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center.

Requirements

• Effective, clear and compelling communication skills to engage stakeholders and maintain their engagement throughout the process.
• Ability to translate analytical findings into business recommendations and influence decision‑making.
• Comfort working with ambiguous business objectives and refining them into measurable problem statements.
• 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.
• 5 or more years of experience with hands-on involvement in data science projects (research or consulting experience is a plus; experience in CPG/Retail, Digital Marketing, e-Commerce, or Revenue Management preferred)
• A bachelor’s degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Economics, or Mathematics)
• Proficiency in SQL and Python, with familiarity in at least one other programming language (e.g., Rust, R, C++/C#, Minitab, SAS, Matlab, VBA)
• Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3.js, Chart.js, Plotly, Matplotlib )
• Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, deep learning, clustering/segmentation)
• Familiarity with cloud environments (Azure, AWS, or GCP) and data pipelines (e.g., Airflow, Azure Data Factory, Databricks)

Nice To Haves

• A master’s degree in a quantitative field is preferred and will be accepted in lieu of 2 years of experience.
• Familiarity with mathematical optimization is a plus (e.g. linear and non-linear optimization, mixed integer programming, knowledge of optimization engines such as CPLEX or Gurobi)

Responsibilities

• Work with Data Science Strategy Leadership to define data science use cases, propose potential modeling approaches, assess feasibility, estimate effort and data requirements, draft project plans.
• Build Proof-of-Concept data science models utilizing K-C’s Microsoft cloud stack: acquire, cleanse, and harmonize data, analyze, and identify appropriate modeling techniques, 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.

Benefits

• 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.
• Along with base pay, this position offers eligibility for a target bonus and a comprehensive benefits suite, including our 401(k) and Profit Sharing plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level