Staff Data Scientist
About The Position
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. 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.
Requirements
- Proven industry experience applying data science, statistics, or machine learning to solve complex product, technology, or business problems
- Masters degree or PhD in Statistics, Data Science, Mathematics, Physics, Economics, Engineering or a related quantitative field
- Direct experience in deriving insights from health sensing time series data using statistical modeling, machine learning, or other analytical methods
- Excellent communication and presentation skills and are comfortable distilling complex technical information with varying internal and external stakeholders
- Advanced knowledge of SQL and statistical programming languages (e.g. Python, R, MATLAB)
- Direct 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
- Can 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 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.
Nice To Haves
- Enjoy learning and improving in a fast-paced environment
- Enjoy the challenge of adapting and growing along with the quickly changing medical device and technology field
- Rise to the challenge of finding new ways to improve upon existing methods
- Like to work in close collaboration with team partners such as product owners, project managers, designers and other team members
Responsibilities
- Leverage large-scale bench, clinical, manufacturing, and real-world data to identify key drivers of product performance, reliability, and user experience
- Design and build scalable analytical tools, dashboards, and data workflows that enable teams to efficiently visualize, and understand product behavior
- Develop models, machine learning solutions, and advanced analytical methods to generate actionable insights that influence product development and business decisions
- Lead exploratory initiatives to evaluate new hypotheses, identify emerging opportunities, and improve existing methodologies
- Provide technical leadership in data science and analytics, influencing study design, success metrics, and analytical strategy for key development programs
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
