Data Scientist 1

Position Summary:

As a Data Scientist, you will be a key contributor to Dexcom’s core Data Science Team, collaborating to serve as the center of a best-in-class data science capability that augments and applies the whole of Dexcom’s data assets to drive value creation across the business, develop innovative data products, and enable a tailored Dexcom experience for all of our customers. You will be working with the latest big data technologies and cloud computing platforms. As a leader in experience individualization, you will work closely with marketing, customer experience, and technical stakeholders to design, develop, and launch data products aligned with Dexcom’s strategy.

Essential Duties and Responsibilities:

• Use techniques from statistical analysis and predictive modeling to build knowledge of Dexcom products, processes, and customers.
• Query and analyze data in support of existing apps and other products in commercial use.
• Support stakeholders across the business by executing advanced forms of analytics on diabetes centric and other Dexcom data.
• Munge, clean, and interpret raw data into analysis-ready data sets.
• Assist in requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management.
• Perform high quality research independently and in collaboration with other functional teams at Dexcom.
• Research the patterns and properties of diabetes centric data from the individual- to population-scale to inform product, digital services, and business development.
• Collaborate closely with customer experience, marketing, product, and other business stakeholders to develop data products aligned with Dexcom’s strategy.
• Work with analytics and technical teams under agile development methods.
  

Required Qualifications:

• Experience working with databases and distributed computing platforms and their query interfaces.
• Experience working with high level programming languages.
• Experience with statistical methods.
• Experience with algorithms and the mathematical methods used to extract information from data.
• Familiarity provisioning computing resources with tools and software for exploratory data science discovery work.
• Good understanding of database systems.
• Experience with statistical languages and software packages.
• Experience with visualization software and techniques.
• A team player with a demonstrated track record of collaboration.
• Capable of conducting independent research, motivated by hard technical challenges.
• Results-driven, self-motivated, self-starter.
• Excellent written and verbal communications skills, with a proven ability to translate complex methodologies and analytical results to business insights.
  

Preferred Qualifications:

• Experience working with Python.
• Experience working with GCP BigQuery or SQL.

• Experience developing software and especially for regulated medical devices.
• Experience with Python libraries for math and statistics.
• Experience with Jupyter Notebook or Jupyter Lab.
• Experience with methods and models for individualization and personalization.
• Familiarity with statistical inference, data mining, pattern recognition or machine learning.

• Familiarity with additional programming languages.
• Familiarity working with column store and NoSQL databases.
• Familiarity with tools in the Hadoop ecosystem like HDFS, Hive, MapReduce.
• Familiarity with queuing systems and ability to work efficiently in a shared computing environment.
• Ability to prepare high quality technical figures for publication in industry and scientific journals.
• Familiarity working cross functionally with teams deployed across the US and internationally.
• Entrepreneurial experience at start-ups and academic labs.
• Experience in continuous glucose monitoring and related data.
• Experience identifying customer needs and instrumenting customer experiences across multiple channels, devices, and touchpoints.