Staff Data Scientist - Operations Intelligence

The Company

Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health.

We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us.

Meet the team: 

Are you a Data Scientist that thrives in a highly collaborative, high growth company? 

Dexcom has an exciting opportunity for a Data Scientist to provide support for the projects, functions, and strategic objectives of the Operations Intelligence Team.

This is a growing team that partners across multiple functions (Manufacturing Operations, Quality, Supply Chain, Engineering, Enterprise BI Team, R&D).  Along with working to provide data for key operating metrics and insights, Dexcom is the place where you can apply advanced analytics for good in the world. 

Where you come in:

• You are a detail-oriented person who likes to find the needle in the haystack 

• 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 love transforming a mixture of structure and unstructured data into actionable data insights and products 

• You enjoy building new analytic tools to quantify, visualize, and structure various data sources 

• You have a passion for building statistical models that improve understanding 

What makes you successful:

• You have 6 years of work experience using advanced analytics to solve product or business problems 

• You have a master’s degree in data science 

• You have led multiple projects and deployed real-time predictive models to production using CI/CD/CT 

• You have deep experience in deriving insights from big data 

• You have excellent communication skills for interfacing with peers in internal/external departments 

• You have advanced knowledge of SQL and statistical programming languages (e.g. Python, R, Scala, C++). 

• You have direct experience handling and querying datasets and databases of various sizes and degrees of cleanliness 

• You have a deep under of statistical analysis and methods 

• You can independently manage and consult with stakeholders in complex projects to define success criteria and timelines 

• GCP certifications (e.g. ML engineer, Data engineer) 

What you’ll get:

• A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community. 

• 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. 

• An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.  

Education and Experience:

• Typically requires a Bachelor’s degree in a technical discipline, and a minimum of 8-12 years related