Manager Data Science

Dexcom • San Diego, CA

22h • $141,800 - $236,400 • Remote

About The Position

The Dexcom Post Market Surveillance Data team is a multidisciplinary team responsible for developing, deploying, and scaling advanced analytics, machine learning models, and data products that drive the delivery of actionable post market product performance data across the enterprise. We operate in a fast-paced, mission-critical environment where reliability, efficiency, and timely escalations are paramount. As part of the Data Science and Engineering team, this role combines strategic leadership, technical expertise, and people management to deliver innovative data solutions while ensuring robust, scalable, and reliable data platforms.

Requirements

• Embrace innovation, with experience or interest in automation, AI, and modern data science practices.
• Demonstrate strong analytical and data-driven decision-making skills, leveraging metrics and dashboards to improve outcomes.
• Current expertise in GCP functions and Big Query.
• Expertise in DBT, SQL and python.
• Experience with GitHub or similar version control software.
• Excel in leading global, cross-functional teams and driving collaboration across multiple stakeholders and time zones.
• Effective communicator who can engage both technical teams and executive leadership with clarity and confidence.
• Strong end-user-first mindset, with a passion for improving end-user experience and service quality.
• 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

Responsibilities

• Lead and manage global, data scientists and engineers, ensuring high-quality, reliable access to data.
• Oversee the design, development, validation, and deployment of machine learning models.
• Guide experimentation, hypothesis testing, and statistical analysis initiatives.
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
• Drive adoption of data architecture standards and engineering best practices.
• Define and execute the data science and engineering roadmap while adhering to data governance and regulatory compliance policies.
• Report out to senior leadership product metrics and patient risk data helping to identify areas of improvement.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager