Sr. Data Scientist

Sr. Data Scientist

Job Description

You were made to do this work: exploring uncharted questions, engineering innovative solutions, advancing scientific understanding, and constantly pushing the boundaries of what’s possible. You want to be part of a performance culture dedicated to solving real-world problems with purpose and precision. You want to work in an environment that promotes sustainability, inclusion, wellbeing, and career development. In this role, you’ll help us shape the future and improve lives for billions of people around the world.

It starts with YOU.

In this role, you will:

• Leverage advanced functional and technical expertise to identify insights and bring to life solutions using visualization tools like Power BI and Celonis.
• Lead analytical model development, evaluation, and deployment to support operational decision making across KCNA End-to-End Supply Chain.
• Use strong business acumen to optimize complex operational processes and guide Supply Chain Operating Office on analytics strategy.
• Actively explore large data sets for supply chain optimization and develop statistical models, metrics, and KPIs.
• Partner with key Supply Chain teams, DTS Analytics team and vendors to enable a robust data foundation utilizing tools like SQL, Celonis, Power BI, HANA VDMs and Snowflake.
• Facilitate process-mapping discussion to identify and action current to future state process improvements and automation capabilities.
• Identify potential analytics use cases, evaluate their feasibility and quantify potential future business impact.
• Create useful and appropriate visualizations tailored for the intended audiences that are easy to interpret and drive data adoption to monitor business performance.
• Utilize strong project management knowledge to develop and lead projects including timeline management, risk assessment plans, and action item management to ensure delivered results.
• Build strong sustainable business relationships at various levels throughout the organization and key customers.

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.

In one of our data science 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:

Qualifications:

• Bachelors or Advanced degree in Logistics, Supply Chain, Engineering or related field.
• 5+ years of business experience and 3+ years of cross-functional Supply Chain Customer Service, Distribution or Planning experience preferred.
•  5+ years of working experience in data science, analytics and/or data modeling.
• Advanced analytics, data visualization, and reporting dashboard design and development experience.
• Knowledge of or willingness / ability to learn new analytical and automation tools.
• Demonstrated leadership in executing innovative solutions through process and technology.
• Demonstrated experience in strategic problem-solving, cross-functional collaboration, analytical thinking and influence.
• Strong technical/analytic skills and experience in multiple platforms such as Excel, SAP/S4, Data Warehouse reporting, Celonis, Power BI, Power Platform, HANA VDMs, Snowflake.

Preferred Experience:

• MBA or MS in Engineering, Data Science, Analytics or related field.
• Working knowledge of Kimberly-Clark’s supply chain interactions.
• Experience with relational database structure and design, SQL, or Snowflake.
• 3+ years of experience using various programming languages (R, Python etc.) to develop and apply