Data Science Strategy Lead (Information Technology)

Data Science Strategy Lead

Job Description

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 newly created individual contributor role will report to the Associate Director of Data Science Strategy and will have 2 high level responsibilities:

Democratization and business enablement of data science products developed by the Data Science Strategy Team Hands on keyboard end-to-end delivery of priority identified Data Science use cases.

This role requires a blend of technical expertise and business acumen. In turn, it offers high visibility by working on some of the most important and rewarding business opportunities we face in commercial analytics. These opportunities include trade promotion optimization, ecommerce sales analytics, revenue growth management, advanced marketing measurement, digital audience optimization, and zero- and first-party consumer analytics.

This role is a great opportunity for seasoned individual contributor data scientists who are looking to pivot towards a more business-facing position. Ideal candidates will possess strong business gravitas, demonstrated through effective public relations and marketing of data science solutions, while seamlessly transitioning to hands-on technical work when needed.

In this role, you will:

• Develop and implement a data science product business enablement program (e.g., power user training initiatives, business engagement campaigns, model enhancement request intake and tracking, adoption reporting) to ensure data science products developed by the team are effectively integrated into critical business processes and utilized to extract maximum business value.

• Be a champion for Data Science driven business insights by utilizing existing models to proactively mine actionable business insights, acting as a technical expert in products developed by the Data Science Strategy team, establishing processes for validating model outputs and troubleshooting issues.

• Define ad-hoc data science use cases, propose potential modeling approaches, assess feasibility, estimate effort and data requirements, draft delivery plans.

• Build data science models utilizing K-C's Microsoft cloud stack: acquire, cleanse, and harmonize data, identify and implement appropriate modeling techniques.

• 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 decision recommendations to cross-functional and senior leadership teams.

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.

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

• Effective, persistent and compelling communication skills to engage stakeholders, market new solutions, and deliver compelling presentations and demonstrations.

• Business gravitas and acumen through demonstrated ability to build relationships, persuade and influence, understand and navigate matrixed business environments.

• 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:

• 5+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) – A master's 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., Python, R, C++, Minitab, SAS, Matlab, or VBA)

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

• Experience in machine learning methods (e.g. multivariate regression, feature engineering, XGBoost, elastic nets, bayesian regression, clustering/segmentation, CLV/RFM)

• 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)

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 www.mykcbenefits.com.
 

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.

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

Salary Range: $140,000 - $174,000 USD

At Kimberly-Clark, pay is just one aspect of our total rewards package, which also includes a variety of benefits and opportunities to achieve, thrive and grow. 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. The anticipated base pay range for this role is provided above for a fully qualified hire. Actual pay will depend on several factors, such as location, role, skills, performance, and experience. Please note that the stated pay range applies to US locations only.

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.

#LI-Hybrid

Salary Range: 140,320 – 173,360 USD

At Kimberly-Clark, pay is just one aspect of our total rewards package, which also includes a variety of benefits and opportunities to achieve, thrive and grow. 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. The anticipated base pay range for this role is provided above for a fully qualified hire. Actual pay will depend on several factors, such as location, role, skills, performance, and experience. Please note that the stated pay range applies to US locations only.

Primary Location

USA-IL-Chicago

Additional Locations

USA-GA-Atlanta-Roswell

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time