Data Scientist 2
DexCom • San Diego, CA1d • Hybrid
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Data Scientist 2
DexCom•San Diego, CA
•Hybrid
About The Position
Dexcom’s product development analytics team collaborates with design teams—including firmware, hardware, algorithm, sensor/membrane, and mechanical engineering—to quantify and model factors that influence the performance and reliability of health-sensing platforms. The Data Scientist will use large-scale bench, clinical, manufacturing, and real-world data to identify drivers of product performance, reliability, and user experience. The role also involves building analytical tools and workflows, developing models and machine-learning solutions, and supporting exploratory initiatives that inform product development and business decisions. The primary work 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 required is 0–5%.
Requirements
- A master’s degree or PhD in Statistics, Data Science, Mathematics, Physics, Economics, Engineering, or a related quantitative field; the posting also states that the role typically requires a bachelor’s degree in a technical discipline and 2–5 years of related experience, or a master’s degree and 0–2 years of equivalent industry experience.
- At least 2 years of industry experience applying data science, statistics, or machine learning to complex product, technology, or business problems.
- 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 stakeholders.
- Advanced knowledge of SQL and statistical programming languages such as MATLAB or Python.
- Experience handling and querying datasets and databases of varying sizes and levels of 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
- Analyze large-scale bench, clinical, manufacturing, and real-world data to identify factors affecting 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 hypotheses, identify emerging opportunities, and improve existing methodologies.
- Collaborate closely with product owners, project managers, designers, engineers, and other team members.
- Communicate and present complex technical information to internal and external stakeholders.
- Use data-driven recommendations to influence decisions and drive measurable impact.
Benefits
- Full and comprehensive benefits program.
- Growth opportunities on a global scale.
- Career development through in-house learning programs and/or qualified tuition reimbursement.
- Opportunity to work with life-changing continuous glucose monitoring technology.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
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