Staff Data Scientist, CGM Analytics
Dexcom, Inc

San Diego, California

Posted in Manufacturing and Production


This job has expired.

Job Info


About Dexcom

Founded in 1999, Dexcom, Inc. (NASDAQ: DXCM), develops and markets Continuous Glucose Monitoring (CGM) systems for ambulatory use by people with diabetes and by healthcare providers for the treatment of people with diabetes. The company is the leader in transforming diabetes care and management by providing CGM technology to help patients and healthcare professionals better manage diabetes. Since the company's inception, Dexcom has focused on better outcomes for patients, caregivers, and clinicians by delivering solutions that are best in class - while empowering the community to take control of diabetes. Dexcom reported expected full-year 2021 revenues of $2.48B, a growth of 27% over 2020. Headquartered in San Diego, California, with additional offices in the Americas, Europe, and Asia Pacific, the company employs over 6,000 people worldwide.

Position Summary:

You will be part of the team that advances continuous health sensing design via data-driven insights. You will develop analytical techniques and models to facilitate our scientific and business objectives. You will be expected to be an expert in working with large-scale structured and unstructured data sets. Additionally, you should have expertise in artificial intelligence, machine learning, and latest methodologies in this rapidly changing field. You will leverage these tools to identify patterns and generate predictive models of sensor performance in commercial users. Lastly, you will create periodic reports, create dashboards, and make presentations to large cross-functional audiences.

Work as a member of a R&D technology development team and collaborate and communicate with other departments including firmware/hardware, sensor/membrane, and mechanical engineering to help facilitate improved designs via data-driven insights.

Your contributions will aid in Dexcom's mission to 'empower people to take control of diabetes'.

Essential Duties and Responsibilities:

  • Support ad-hoc analysis requests by running analyses and present results to stakeholders
  • Contribute to research in health sensing system to respond to customers and market needs
  • Clean, query, and transform data sets and generate statistical analyses
  • Apply data mining and machine learning techniques to extract valuable information and patterns from sensor data
  • Use techniques from signal processing, time series, statistical analysis and machine learning to develop models that relate sensor manufacturing to in-vivo performance
  • Collaborate cross-functionality to capture design details relevant to data interpretation and analysis
  • Experience in standing up ML models in production
  • Create and maintain documentation of work processes
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
  • Perform other related duties and assignments as required
  • Comply with all company processes and policies

Basic Qualifications:
  • Bachelor's degree in technical discipline with a minimum of 8-12 years of related experience or a Master's degree and 5-7 years of related experience or a PhD and 2-4 years or related experience.
  • Sound knowledge of statistical analysis, time series, signal processing, and data mining techniques
  • Strong knowledge of statistical programming languages in MATLAB, R, or Python
  • Expert knowledge of SQL
  • Expert knowledge and direct experience handling large datasets
  • Excellent communication (verbal and written) and interpersonal skills with an ability to effectively communicate with both business and technical teams
  • Perform other related duties and assignments as required

Preferred Qualifications:
  • Direct experience with BigQuery platform
  • Knowledge and direct experience using business intelligence reporting tools such as Tableau

Workplace Mode:

The Workplace Type for this role is Remote. You are not required to live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). If you reside within commuting distance of a Dexcom site (typically 75 miles/120km) a hybrid working environment may be available. Ask about our Flex workplace option.

Travel Required:
  • 0 - 24%

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

  • Possesses advanced knowledge of technical principles and theories. Recommends solutions in support of functional objectives tied to overall company objectives and strategies.

Scope

  • Demonstrates significant technical expertise, collaboration with others and independent thought. Anticipates potential complex problems requiring an in-depth evaluation. Demonstrates strategic thinking and commercial/industry understanding in functional projects.

Judgement

  • Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results.
  • Determines methods and procedures on new assignments and may coordinate activities of other colleagues.

Management

  • N/A

Field Sales

  • N/A

Experience and Education

  • Typically requires a Bachelors degree in a technical discipline, and a minimum of 8-12 years related experience or Masters degree and 5-7 years equivalent industry experience or a PhD and 2-4 years of experience.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications.


This job has expired.

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