Manager, Data Science (176283)

Colgate Palmolive; Overland Park (KS); Remote; USD 124,000 - 174,000; Full time

Job summary

Colgate-Palmolive is seeking a Manager, Data Science to lead end-to-end analytics and ML initiatives for the global marketing and sales organization. You will translate business needs into scalable data products and drive value realization using cloud infrastructure and MLOps practices.

Based in Overland Park, KS with travel up to 10%, this role offers collaboration with Hill's Pet Nutrition and a culture built on caring, inclusion, and courage as part of a world-class consumer products company.

Qualifications

• Bachelor’s degree in a quantitative field (data science, statistics, CS, business analytics).
• 5+ years of data analytics experience.
• Proficiency with SQL and Python or R for modeling.
• Experience with A/B testing and modern Generative AI techniques (LLMs).
• Experience with enterprise cloud platforms (AWS/Azure/GCP) and Snowflake.
• Familiarity with SAP and customer analytics in CPG/Retail.

Responsibilities

• Lead end-to-end development and deployment of scalable analytics and ML solutions.
• Act as analytics translator bridging data science with commercial goals.
• Develop data products and dashboards for non-technical stakeholders.
• Establish MLOps practices, CI/CD, monitoring, and governance.
• Collaborate with cross-functional teams and external vendors.

Skills

SQL

Python or R

A/B testing

Generative AI & LLMs

Cloud platforms (AWS/Azure/GCP)

Education

Bachelor's Degree in Data Science, Statistics, Computer Science, Business Analytics, or related

Tools

SAP

Snowflake

AWS

Azure

Google Cloud Platform

Job description

Career Opportunities: Manager, Data Science (176283)

Requisition ID176283-Posted10/23/2026-Marketing-United States-Kansas-Overland Park-Hill's Pet Nutrition-Travel - up to 10% of time-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. 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 learning, and Generative AI / Large Language Models (LLMs) to solve critical sales and marketing challenges across workflows for unstructured data, feature engineering, and automated insight generation.

Help lay the foundation for MLOps practices, CI/CD pipelines, model monitoring, and governance frameworks to support model performance, reliability, and security as our AI/ML capabilities mature.

Design, execute, and evaluate continuous experimentation protocols, including A/B testing and causal inference, to measure and improve commercial outcomes.

Partner with cross-functional commercial leaders, external vendors, and IT/data engineering teams to leverage enterprise cloud data infrastructure (AWS/Azure) and ML tooling as we mature our cloud environment.

Build and automate interactive reporting dashboards using platforms such as Tableau, Domo, or Google Data Studio to deliver actionable insights to non-technical stakeholders.

Drive change management and user adoption strategies, partnering closely with business stakeholders to transition AI capabilities into everyday commercial operations.

Required Qualifications

Bachelor’s Degree in Data Science, Statistics, Computer Science, Business Analytics, or a related quantitative field.

5+ years of experience in applied data analytics, data science, quantitative programming, or a related field.

Hands-on proficiency with SQL and Python or R for statistical modeling and predictive analytics.

Experience designing and executing A/B testing frameworks and applying modern Generative AI techniques, Large Language Models (LLMs), and prompt engineering/fine-tuning in enterprise settings.

Proven experience utilizing enterprise cloud platforms and data infrastructure (e.g., AWS, Azure, Google Cloud Platform, Snowflake).

Familiarity with SAP, customer analytics within CPG/Retail.

Preferred Qualifications

Demonstrated ability to manage ambiguity, lead project timelines independently, apply change management techniques to drive user adoption, and translate complex technical findings to non-technical executive audiences.

Proven track record of operating with a data product mindset and delivering measurable ROI and quantified value realization across commercial analytics initiatives.

Familiarity with model deployment, integration, and foundational MLOps principles using modern data architecture, containerization, and workflow orchestration tools to support model stability and monitoring.

Compensation and Benefits

Salary Range $124,000.00 - $174,000.00 USD

Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.

Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements.

Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.

Our Commitment to Inclusion

Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer

Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

For additional Colgate terms and conditions, please click here .