Data Science Strategy Leader

Chicago, IL, United States

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 Science Strategy Leader 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 Sr. Director of Data Science and Advanced Analytics Strategy and will have 2 primary set of responsibilities:

End-to-end ownership of Data Science projects (90%): Identify and prioritize Data Science use cases, develop project plans, build models and communicate results

Data Science Community and Strategy (10%): Support activation of KCNA Data Science Community of Practice and provide input for Data Science vision, strategy, and execution plans

We are looking for individuals that have hands-on Data Science experience in one or more of the following focus areas:

Zero and first party consumer datasets

Advanced marketing measurement

Demand planning, forecasting and S&OP

Revenue growth management and optimization

This role is ideal for candidates who excel at being trailblazers, operating in environments with imperfect data, and comfortable prioritizing progress over perfection by making reasonable business assumptions.

Responsibilities:

End-to-end ownership of Data Science projects:

Engage with business stakeholders to identify data science use cases, quantify business value, 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 algorithms, build models that are interpretable, explainable, and sustainable at scale and meets the business needs

Lead stakeholder engagement 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 teams and DTS Delivery teams to scale proven high value Proof-of-Concept models where enterprise certified products are required

Support KCNA Data Science Community and Strategy:

Help build a community and strengthen culture among functionally embedded KCNA data scientists and data science enthusiasts by being a thought partner and mentor, share data science best practices, and provide hands-on support based on the individual’s needs

Provide input to the KCNA Strategy and Commercial Analytics leadership team in developing KCNA-wide Data Science and Advanced Analytics vision/strategy, operating model, and roadmap

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

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

Critical Soft Skills:

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

Critical Technical Skills:

3+ years of experience with hands-on involvement in data science projects (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) - An advanced degree in a quantitative field is preferred and will be accepted in lieu of 2 years of experience.

Proficiency in SQL and one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as Gurobi is a plus)

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

Demonstrated experience in machine learning and mathematical optimization methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, unsupervised learning, clustering/segmentation, linear optimization, mixed integer programming etc.)

Total Benefits: For a complete overview, see www.mykcbenefits.com

Hybrid Work Arrangements: You’re looking to make a difference. When and where it works best for you. And 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 (hybrid) 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.

Veterans and members of the Reserve and Guard are highly encouraged to apply.

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.

Additional information about the compensation and benefits for this role are available upon request. You may contact 866-444-4516 or [email protected] for assistance. You must include the six digit Job # with your request.

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.

#LI-Hybrid

#J-18808-Ljbffr