Data Scientist 2

Dexcom • San Diego, CA

1d • $91,400 - $152,300 • Hybrid

About The Position

Dexcom’s product development analytics team collaborates with firmware, hardware, algorithm, sensor/membrane, and mechanical engineering design teams to quantify and model factors influencing product performance and reliability across on-market health sensing platforms. The Data Scientist 2 uses large-scale bench, clinical, manufacturing, and real-world data to identify drivers of product performance, reliability, and user experience.

The role designs and builds scalable analytical tools, dashboards, and data workflows that help teams visualize and understand product behavior. It also develops models, machine learning solutions, and advanced analytical methods to generate actionable insights for product development and business decisions, and supports exploratory work to evaluate hypotheses, identify opportunities, and improve methodologies. The position involves close collaboration with product owners, project managers, designers, and other team members.

The primary location is a home office, with no assigned workstation. The employee will work with their manager to determine office visit needs and must live within commuting distance of the assigned Dexcom site, typically within 75 miles/120 km. Travel is required 0–5%.

Requirements

• At least 2 years of industry experience applying data science, statistics, or machine learning to complex product, technology, or business problems.
• A master’s degree or PhD in Statistics, Data Science, Mathematics, Physics, Economics, Engineering, or a related quantitative field.
• Direct experience deriving insights from health-sensing time-series data using statistical modeling, machine learning, or other analytical methods.
• Excellent communication and presentation skills, including the ability to explain complex technical information to varied internal and external stakeholders.
• Advanced knowledge of SQL and statistical programming languages such as MATLAB or Python.
• Direct experience handling and querying datasets and databases of varying sizes and cleanliness.
• Deep understanding of statistical inference, experimental design, predictive modeling, uncertainty quantification, and data visualization.
• A proven track record of influencing decisions and driving measurable impact through data-driven recommendations.

Responsibilities

• Use large-scale bench, clinical, manufacturing, and real-world data to identify drivers of product performance, reliability, and user experience.
• Design and build scalable analytical tools, dashboards, and data workflows to help teams visualize and understand product behavior.
• Develop models, machine learning solutions, and advanced analytical methods to generate actionable insights for product development and business decisions.
• Support exploratory initiatives to evaluate new hypotheses, identify emerging opportunities, and improve existing methodologies.
• Collaborate with product owners, project managers, designers, and other team members.

Benefits

• A full and comprehensive benefits program.
• Growth opportunities on a global scale.
• Career development through in-house learning programs and/or qualified tuition reimbursement.

What This Job Offers

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