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Data Scientist Remote - Posted ago

Remote / Online - Candidates ideally in
Northern, Floyd County, Kentucky, USA
Listing for: Dexcom Inc.
Part Time, Remote/Work from Home position
Listed on 2026-09-05
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 142000 - 236000 USD Yearly USD 142000.00 236000.00 YEAR
Job Description & How to Apply Below
Position: Staff Data Scientist Remote - United States Posted 19 hours ago
Location: Northern

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:
  • You will leverage large-scale bench, clinical, manufacturing, and real-world data to identify key drivers of product performance, reliability, and user experience
  • You enjoy learning and improving in a fast-paced environment
  • You enjoy the challenge of adapting and growing along with the quickly changing medical device and technology field
  • You rise to the challenge of finding new ways to improve upon existing methods
  • You like to work in close collaboration with team partners such as product owners, project managers, designers and other team members
  • You will design and build scalable analytical tools, dashboards, and data workflows that enable teams to efficiently visualize, and understand product behavior.
  • You will develop models, machine learning solutions, and advanced analytical methods to generate actionable insights that influence product development and business decisions
  • You will lead exploratory initiatives to evaluate new hypotheses, identify emerging opportunities, and improve existing methodologies.
  • 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:
  • You have proven industry experience applying data science, statistics, or machine learning to solve complex product, technology, or business problems
  • You have a Masters degree or PhD in Statistics, Data Science, Mathematics, Physics, Economics, Engineering or a related quantitative field
  • You have direct experience in deriving insights from health sensing time series data using statistical modeling, machine learning, or other analytical methods
  • You have excellent communication and presentation skills and are comfortable distilling complex technical information with varying internal and external stakeholders
  • You have advanced knowledge of SQL and statistical programming languages (e.g. Python, R, MATLAB).
  • You have direct experience handling and querying datasets and databases of various sizes and degrees of cleanliness
  • You have a deep understanding of statistical inference, experimental design, predictive modeling, uncertainty quantification, and data visualization.
  • You can independently manage and consult with stakeholders in complex projects to define success criteria and timelines
  • You have a proven track record of influencing decisions and driving measurable impact through data-driven recommendations
What you’ll get:
  • A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community.
  • 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.
  • An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.
Travel Required:
  • 0-5%
Experience and

Education Requirements:
  • Typically requires a Bachelor’s degree in a technical discipline, and a minimum of 8-12 years related experience or Master’s degree and 5-7 years equivalent industry experience or a PhD and 2-4 years of experience.

Remote Workplace:
Your location will be a home office; you are not required to live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). If you reside within commuting distance of a Dexcom site (typically 75 miles/120km) a hybrid working environment may be available. Ask about our Flex workplace option.

Please note:

The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description…

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