Senior Postmarket Surveillance Data Scientist
Role details
Job location
Tech stack
Job description
This position works out of our Alameda, CA location in the Diabetes Care division where we are focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We're revolutionizing the way people monitor their glucose levels with our new sensing technology.
What You'll Work On
*Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to the client
*Utilize technologies to collect, clean, analyze, predict, and effectively communicate information
*Prepare both structured and unstructured data for analysis
*Able to examine data sets and determine the best end-to-end analysis plan to address key business questions and create value for the client
*Conduct advanced statistical analysis to determine trends and significant data relationships
*Validate models/analytical techniques, and develop algorithms to execute analytical functions
*Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need.
*Proactively identifies opportunities for significant operational, process or system level product improvements.
*Communicate model logic and restrictions
*Work closely with the business to understand the domain and iteratively refine analyses
*Transform analytical results into actionable recommendations for business partners using deep industry knowledge
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Coach and mentor junior data scientists and provide technical/analytical guidance when needed
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Provides input into developing departmental and site processes and procedures.
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Guide and otherwise contribute to technical teams in development, deployment and application of applied analytics, predictive analytics, prescriptive analytics, etc.
Requirements
Bachelors Degree in Computer Science, Data Analytics or similar discipline including Mathematics, Statistics, Physics, or Engineering
Minimum of 4 years of relevant work experience with degree or sufficient transferable experience to demonstrate functional equivalence to a degree
Advanced Experience with programming scripts such as Python, SQL, PowerBI, Databricks
Experience in applying data analysis techniques to a large set of data using big data systems
Advanced analytics knowledge and application in the field of Statistics
Mathematical programming
Business acumen and experience with operational or strategic systems, Advanced degree in Life or Physical Science, Bioengineering, Biomedical Engineering or closely related discipline is preferred