Advanced Analytics Data Scientist

Advanced Analytics Data Scientist

You were made to create Better Care for a Better World: 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. Here, you’ll work in an environment that promotes sustainability, inclusion, wellbeing, and career development while you help us deliver better care for billions of people around the world.

It starts with YOU.

In one of our technical roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center.

• Leverage advanced analytics and visualization tools (Power BI, Celonis) to translate complex data into actionable supply chain insights.
• Lead the development and deployment of analytical models to enable data‑driven decision making across the end‑to‑end supply chain.
• Apply strong business acumen to optimize operations and guide supply chain analytics strategy and priorities.
• Analyze large datasets to identify optimization opportunities and develop scalable metrics, KPIs, and statistical models.
• Partner cross‑functionally to build a robust data foundation using tools such as SQL, Snowflake, HANA VDMs, and Power BI.
• Lead end‑to‑end initiatives including process mapping, use case identification, and project execution to drive measurable business impact and automation.

• Bachelor’s or advanced degree in Logistics, Supply Chain, Engineering, Computer Science, Data Science or related field.
• 5+ years of business experience, including 5+ years 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, technology‑driven solutions through strategic problem‑solving, cross‑functional collaboration, and strong analytical thinking.
• 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.

• MBA or MS in Engineering, Data Science, Analytics or related field.
• 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 advanced cognitive or machine learning methods and algorithms to address supply chain and business problems.
• 3+ years of cross‑functional supply chain, customer service, distribution or planning experience.
• Exceptional communication skills, with ability to simplify complex concepts for ease of understanding.
• Good facilitation and presentation skills, including training delivery.
• Ability to mentor data analysts and other team members in established best practices.

We believe that our employees are our greatest asset, and we’re committed to providing them with the resources they need to be successful. Benefits include health, dental, vision, 401(k), profit‑sharing and more. For a complete overview, see

Salary Range: 105,740–130,620 USD (US locations only). The anticipated base pay range is provided above for a fully qualified hire. Actual pay will depend on several factors, such as location, role, skills, performance, and experience.

Primary location:
Neenah – West Office Facility
1. Additional locations:
Chicago Commercial Center, IT Centre, Bengaluru GDTC, Knoxville Office, Pune Kharadi Hub, Roswell, Building 400.

This role is available for local candidates already authorized to work in the role’s country only. We do not provide relocation support. Employment is subject to verification of local policies, 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.

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.