Data Scientist Jobs

About The Position

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.