Data Science and Business Enablement Manager

Data Science and Business Enablement Manager

Job Description

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 advanced analytics as a competitive advantage across all our brands and business units .

This individual contributor role will report to the Sr. Director of Data Science and Advanced Analytics Strategy and will have 2 primary focus areas:

End-to-end delivery of prioritized Data Science use cases Systematic democratization and enablement of data science products and related business insights/recommendations This role will have very high visibility to all levels of the organization by working on some of the high profile and complex, but rewarding business problems we face in commercial analytics domain , including revenue growth optimization, digital commerce, syndicated POS data mining, models utilizing first party transactional databases and advanced marketing measurement. This role is ideal for candidates who excel at operating in environments with imperfect data, and those who are comfortable prioritizing progress over perfection by making reasonable business assumptions.

In this role, you will:

• Work with the Sr. Director to engage with business stakeholders to identify data science use cases, quantify business value, propose potential approaches, assess feasibility, estimate effort and data requirements, draft project timelines and effectively communicate back to the business

• 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

• Keep stakeholders continuously engaged through frequent check-ins, progress updates, engaging presentations and storytelling, visualizations, and interactive dashboards designed for non-technical audiences

• Acquire necessary business context to interpret model outputs, draw actionable insights, communicate findings, and make recommendations to cross-functional and senior leadership teams

• Work with the Data Science Product Team to become SME for select high-profile products, develop product rollout plans, build and execute training programs, champion product usage by mining and extracting business insights out of the product

• Collaborate with Enterprise AI/ML teams and DTS Delivery teams to scale proven high value Proof-of-Concept models where enterprise certified products are needed

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

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

• Business gravitas to act as a Data Science evangelist who is an engaging, clear and compelling story-teller

• Comfort in making reasonable assumptions to push forward when faced with less than complete data, fuzzy/muddy problem definitions, in a fail-fast fail-forward environment

• 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 CPLEX or Gurobi is a plus)

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

• Familiarity with Microsoft Cloud infrastructure is a plus (e.g., Azure, Databricks, Snowflake etc.)

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, 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.

Additional information about the compensation and benefits for this role are available upon request. You may contact – when prompted for employee ID, say “OTHER CALLER” - or  for assistance. You must include the six digit Job # with your request.

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

This role is available for local candidates already authorized to work in the role’s country only. Kimberly-Clark will provide relocation support for this role.

#LI-Hybrid

Primary Location

USA-IL-Chicago

Additional Locations

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time