Staff Data Scientist

🔥 20 hours ago

🇺🇸 United States – Remote

💵 $141.8k - $236.4k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Dexcom

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

🏥 Healthcare

💼 Consulting

🏭 Manufacturing

Healthcare • Consulting • Manufacturing

Dexcom is a leading provider of continuous glucose monitoring (CGM) systems, revolutionizing how people manage diabetes and track their glucose levels. Known for their best-in-class glucose biosensing technology, Dexcom offers products like the Dexcom G7 CGM system, which provides real-time glucose monitoring and insights to help individuals become healthier. Founded in 1999, Dexcom has consistently innovated in the field of diabetes management, empowering users to take control of their health with accurate and advanced glucose monitoring solutions. Their products are designed for both adults and children and do not require a prescription.

📋 Description

• Leverage large-scale bench, clinical, manufacturing, and real-world data to identify key drivers of product performance, reliability, and user experience • Collaborate with firmware, hardware, algorithm, sensor/membrane, and mechanical engineering design teams • Design and build scalable analytical tools, dashboards, and data workflows • Develop models, machine learning solutions, and advanced analytical methods to generate actionable insights • Lead exploratory initiatives to evaluate hypotheses, identify opportunities, and improve methodologies • Provide technical leadership in data science and analytics • Influence study design, success metrics, and analytical strategy for key development programs • Collaborate with product owners, project managers, designers, and other team members

🎯 Requirements

• Proven industry experience applying data science, statistics, or machine learning to complex product, technology, or business problems • 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 • Advanced knowledge of SQL and statistical programming languages such as Python, R, or MATLAB • Experience handling and querying datasets and databases of various sizes and degrees of cleanliness • Deep understanding of statistical inference, experimental design, predictive modeling, uncertainty quantification, and data visualization • Ability to independently manage and consult with stakeholders in complex projects to define success criteria and timelines • Proven track record of influencing decisions and driving measurable impact through data-driven recommendations • Typically requires a Bachelor’s degree in a technical discipline and 8–12 years related experience, or a Master’s degree and 5–7 years equivalent industry experience, or a PhD and 2–4 years of experience • Travel required: 0–5%

🏖️ 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 • Home office workplace • Flex workplace option may be available for employees within commuting distance of a Dexcom site