Staff Data Scientist
The Company
Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health.
We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us.
Meet the team:
The product development analytics team collaborate with various design teams, including firmware, hardware, algorithm, sensor/membrane, and mechanical engineers to quantify and model the factors that influence product performance and reliability of on-market health sensing platforms.
Where you come in:
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You will leverage large-scale bench, clinical, manufacturing, and real-world data to identify key drivers of product performance, reliability, and user experience
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You enjoy learning and improving in a fast-paced environment
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You enjoy the challenge of adapting and growing along with the quickly changing medical device and technology field
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You rise to the challenge of finding new ways to improve upon existing methods
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You like to work in close collaboration with team partners such as product owners, project managers, designers and other team members
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You will design and build scalable analytical tools, dashboards, and data workflows that enable teams to efficiently visualize, and understand product behavior.
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You will develop models, machine learning solutions, and advanced analytical methods to generate actionable insights that influence product development and business decisions
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You will lead exploratory initiatives to evaluate new hypotheses, identify emerging opportunities, and improve existing methodologies.
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You will provide technical leadership in data science and analytics, influencing study design, success metrics, and analytical strategy for key development programs.
What makes you successful:
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You have proven industry experience applying data science, statistics, or machine learning to solve complex product, technology, or business problems
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You have a Masters degree or PhD in Statistics, Data Science, Mathematics, Physics, Economics, Engineering or a related quantitative field
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You have direct experience in deriving insights from health sensing time series data using statistical modeling, machine learning, or other analytical methods
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You have excellent communication and presentation skills and are comfortable distilling complex technical information with varying internal and external stakeholders
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You have advanced knowledge of SQL and statistical programming languages (e.g. Python, R, MATLAB).
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You have direct experience handling and querying datasets and databases of various sizes and degrees of cleanliness
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You have a deep understanding of statistical inference, experimental design, predictive modeling, uncertainty quantification, and data visualization.
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You can independently manage and consult with stakeholders in complex projects to define success criteria and tim