Manager, Data Science & Innovation - Wearable Devices
About The Position
The Manager, Wearables Data Science & Innovation is a key technical leader within the Wearables Data Science and Innovation team, reporting directly to the Director of Wearables Innovation. In this role, you will lead a cross-functional team of scientists and data engineers to extract actionable insights from 24/7 pet wearable sensor data, directly validating product performance and driving corporate strategy. This position offers an exciting opportunity to combine advanced machine learning development with people leadership to shape the future of pet care technology. Ultimately, this role is responsible for translating complex time-series data into credible, high-impact product claims and behavioral insights.
Requirements
- 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.
Nice To Haves
- 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.
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.
Benefits
- medical
- dental
- vision
- basic life insurance
- paid parental leave
- disability coverage
- participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements
- a minimum of 15 vacation/PTO days
- 13 paid holidays
- Paid sick leave
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What This Job Offers
Job Type
Full-time
Career Level
Manager
