[Remote] Manager Data Science
Note: The job is a remote job and is open to candidates in USA. Dexcom Corporation is a global leader in continuous glucose monitoring technology focused on improving health through personalized, actionable insights. The Manager of Data Science will lead global data scientists and engineers, oversee machine learning and analytics initiatives, and drive reliable, scalable data solutions, governance, and engineering standards. The role also communicates product metrics and patient risk data to senior leadership.
Responsibilities
- You will lead and manage global, data scientists and engineers, ensuring high-quality, reliable access to data
- You will oversee the design, development, validation, and deployment of machine learning models
- You will guide experimentation, hypothesis testing, and statistical analysis initiatives
- You will recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- You will drive adoption of data architecture standards and engineering best practices
- You will define and execute the data science and engineering roadmap while adhering to data governance and regulatory compliance policies
- You will report out to senior leadership product metrics and patient risk data helping to identify areas of improvement
Skills
- Typically requires a Bachelor's degree with 8-12 years of industry experience
- Requires a degree in a technical discipline
- 2-5 years of previous management or lead experience
- You will lead and manage global, data scientists and engineers, ensuring high-quality, reliable access to data
- You will oversee the design, development, validation, and deployment of machine learning models
- You will guide experimentation, hypothesis testing, and statistical analysis initiatives
- You will recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- You will drive adoption of data architecture standards and engineering best practices
- You will define and execute the data science and engineering roadmap while adhering to data governance and regulatory compliance policies
- You will report out to senior leadership product metrics and patient risk data helping to identify areas of improvement
- You embrace innovation, with experience or interest in automation, AI, and modern data science practices
- You demonstrate strong analytical and data-driven decision-making skills, leveraging metrics and dashboards to improve outcomes
- You have current expertise in GCP functions and Big Query
- You are also an expert in DBT, SQL and python
- You have experience with GitHub or similar version control software
- You excel in leading global, cross-functional teams and driving collaboration across multiple stakeholders and time zones
- You are an effective communicator who can engage both technical teams and executive leadership with clarity and confidence
- You have a strong end-user-first mindset, with a passion for improving end-user experience and service quality
Benefits
- A full and comprehensive benefits program.
- Growth opportunities on a global scale.
- Access to career development through in-house learning programs and/or qualified tuition reimbursement.
- Your location will be a home office; you are not required to live within commuting distance of your assigned Dexcom site (typically 75 miles/120km).
- If you reside within commuting distance of a Dexcom site (typically 75 miles/120km) a hybrid working environment may be available. Ask about our Flex workplace option.
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