Jobs / Hil***
Manager, Data Science & Innovation - Wearable Devices
Hil*** · Topeka, KS, United States
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Topeka, KS, United States140,000-160,000 USD/yearlyHybrid
Remuneration
140,000-160,000 USD/yearly
Location
Topeka, KS, United States
Visa sponsorship
Sponsors visa
Job summary
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. Our products are trusted in more households than any other brand in the world, making us a household name!
Benefits
Salary Range $140,000.00 - $160,000.00 USDPay is determined based on experience,Salaried employees enjoy a comprehensivePaid sick leave is adjusted based on role and location in accordance with localOur Commitment to InclusionEqual Opportunity EmployerReasonable accommodation during the application process is available for personsPlease complete this request form should you require accommodation.For additional Colgate terms and conditions, please click here.LI-Hybrid
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
- 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
- and location.
Responsibilities
- Ultimately, this role is responsible for translating complex time-series data into credible, high-impact product claims and behavioral insights.
- 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
Skills
LeadershipTeamwork
Degrees
AssociateDegreePhD
Languages
Arabic
Work schedule
24/7
Industry
EnergyHealthcareInsurance
Company size
Smb
Relocation
Yes