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Colgate-Palmolive
Manager, Data Science & Innovation - Wearable Devices (174930)
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What they do
A Data Science Manager manages a team of data scientists, machine learning engineers and big data specialists. They lead data mining and collection procedures, ensure data quality and integrity, build analytic systems and predictive models, and test the performance of data science products.
$149,864 / year median in Kansas
+26% projected growth
Job Description
Requisition
ID 174930
- Posted 07/24/2026
- Research & Development
- United States
- Kansas
- Topeka
- Hill's Pet Nutrition
- Travel
- up to 10% of time
- Hybrid Relocation Assistance Offered Within Country Job Number #174930
- Topeka, 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.
Responsibilities:
Lead the technical development lifecycle of advanced machine learning architectures and data pipelines tailored for wearable devices and animal behavior algorithms. Oversee end-to-end ML-Ops , model training, and code quality standards to ensure reliable, on-schedule deployment of data products. Partner with leadership to align the technical roadmap and capability development with broader corporate strategic objectives and long-term vision. Consult on clinical and observational study designs , establishing data collection standards and quality assurance reviews for data annotation pipelines to substantiate product claims. Serve as the primary technical liaison for hardware and firmware development teams to streamline system integrations, data transfer protocols, and troubleshooting. Mentor and develop scientists, data scientists, and engineers, promoting continuous process improvement and a culture of collaborative technical excellence.Required Qualifications:
Master's degree in Computer Science, Data Science, Computer/Electrical Engineering, Applied Mathematics, or a related technical field. 4+ years of progressive data science experience specifically focused on machine learning, signal processing, and time-series sensor data analysis. Proficiency in Python or equivalent machine learning programming languages, with demonstrated software prototyping capabilities. Proven familiarity with clinical or observational study designs and data collection methodologies used for claim substantiation.Preferred Qualifications:
PhD in Computer Science, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field. Domain-specific expertise in developing machine learning models for animal behavior analysis. Comprehensive knowledge of data platform architecture, cloud infrastructure (AWS, Azure, Google Cloud), CI/CD pipelines, and Git version control. Strong functional competency in translating complex scientific findings into actionable business insights for non-technical stakeholders. Demonstrated alignment with global core competencies, specifically Driving Innovation, Teamwork, and Planning & Priority Setting. Compensation and Benefits Salary Range $140,000.00- $160,000.