Dexcom

Data Scientist 1

Job description

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.

Functional Description

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Functional/Business Knowledge

  • Applies basic technical understanding with the knowledge to develop process and design experiments. Possesses theoretical knowledge, but is learning the industry and requirements of applied science. Understands organizational and functional processes and policies.

Scope

  • Demonstrates potential for technical proficiency. Works on problems of basic scope in which analysis of situation or data requires a review of data factors. Exercises judgment within defined procedures and practices to determine appropriate action.

Judgement

  • Follows standard practices and procedures in analyzing situations or data from which answers can be readily obtained.
  • Normally receives instructions on all work and work output it supervised.

Management

  • N/A

Field Sales

  • N/A

Experience and Education

  • Typically requires a Bachelors degree in a technical discipline, and a minimum of 0-2 years related experience.

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