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Manager, Data Science

Job in Salina, Saline County, Kansas, 67401, USA
Listing for: Colgate
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 124000 - 174000 USD Yearly USD 124000.00 174000.00 YEAR
Job Description & How to Apply Below

A part of Colgate-Palmolive since 1976, Hill's Pet Nutrition offers the highest-quality pet nutrition available through product lines Prescription Diet® and Science Diet®. Veterinarians worldwide recommend and feed their own pets Hill's products more than any other brand of pet food.

Available in approximately 80 countries around the world, our extensive line of products includes more than 60 Prescription Diet brand pet foods and more than 50 Science Diet brand pet foods.

We believe all animals should be loved and cared for during their lifetimes. That is why we are proud our pet foods can make a difference in your pet's life.

A career at Hill’s Pet Nutrition or Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness.

Travel Required?:
Travel - up to 10% of time

Posting

Start Date:

10/23/26

Remote

Relocation Assistance Offered Within Country

Job Number#176283 - Overland Park, Kansas, United States

Who We Are

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous,we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.

At Hill’s we have a purpose. Every day around the world, we transform the lives of millions of pet families through pioneering innovation, amazing nutrition, and the best and brightest people. If you’re interested in work that matters, fueled by passion for pets, we invite you to apply. Founded more than 75 years ago with an unwavering commitment to pet nutrition, Hills’ mission is to help enrich and lengthen the special relationships between people and their pets.

Our decades of science and research guide us in creating nutrition that’s a step ahead so pets and pet parents can enjoy every day together. As the US #1 Veterinarian Recommended pet food brand, knowledge is our first ingredient with 220+ veterinarians, PhD nutritionists and food scientists working to develop breakthrough innovations in pet health.

Role Summary

The Manager, Data Science leads the end-to-end development, deployment, operationalization, and optimization of scalable advanced analytics, machine learning, and Generative AI solutions for the global marketing and sales organization while leveraging scalable data products. Reporting directly to the Director, Global Data Science, this role acts as a strategic analytics translator and change agent, bridging technical data science capabilities with commercial goals.

Leveraging expertise to utilize cloud infrastructure, robust MLOps practices, and quantitative modeling, the Manager drives data-informed decision-making that delivers quantified value realization, directly accelerating global sales growth and pet care innovation.

Responsibilities

Adopt a data product mindset to apply and utilize scalable data products within advanced analytics, defining, framing, and prioritizing complex commercial challenges into high-impact analytics roadmaps while serving as an analytics translator and advocate for data-driven decision-making to drive quantified value realization (e.g., direct P&L impact, measurable revenue uplift, and automated efficiency gains).

Lead the end-to-end development, deployment, operationalization, and lifecycle management of predictive, machine…

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