Data Scientist at Dexcom

Edinburgh, Scotland, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

0.0

Posted On

22 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Modeling, Machine Learning, Cloud-Based Systems, Python, APIs, NoSQL Databases, Hadoop Ecosystem, RDBMS, Linux, Scrum, Container Platforms, Database Design, Performance Tuning, Full Stack Applications, Software Testing

Industry

Medical Equipment Manufacturing

Description

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. You must have the Right to Work in the UK. Sponsorship is not available for this role Meet the team: Our R&D team is looking for a Data Scientist with experience with data engineering, modeling and machine learning. In this role, you will design, develop, and deploy new data products everaging a variety of data sources. You will also drive technical design, development and documentation of cross-functional and multi-platform capabilities. You will work in collaboration with data platform engineers, algorithm developers and clinical experts to focus on key metrics for diabetic patients and clinicians. We are a new team in R&D building new connected experiences for users across devices and services. As part of this team you'll be able to shape and implement new data-based products that will help millions of diabetes control their illness better. If you enjoy connecting the dots, using data-driven engineering decisions, innovating through modeling and machine learning, you'll enjoy this job. To be successful in this position you will have experience in modern cloud-based systems (GCP, Terraform, BigQuery), development experience using standard modeling and machine learning libraries, understanding of container based platforms such as kubernetes. An essential part of our design involves utilizing PAAS components. We develop software in the context of producing medical systems, which adds another level of challenge to our work as part of the software will need to pass rigorous FDA mandated quality control. Where you come in: Experience with developing full stack applications, preferably in a cloud environment, like AWS, Azure, or GCP Experience in, and comfortable with, being part of a team that builds components as part of a distributed environment Demonstrated ability to keep up with the ever-changing software environments Experience in working in a Scrum-based team environment Strong programming skills - python, ML ecosystem tools. Experience in building APIs and ecosystem around it using modern frameworks and technologies. Familiarity using relevant, modern, software test tools and equipment Experience in building cloud-based, container components Ability to work in a dynamic team environment, and possess time management skills to meet schedules and participate in the scrum What makes you successful: Strong Experience working with Python and ML Libraries Strong understanding of database systems - database design, performance tuning, etc. Able to work efficiently with Linux environment Strong CS fundamentals Willing to learn new technologies as required Experience working with NoSQL databases like Cassandra, HBase, Couchbase etc Experience working with large data sets Experience with Hadoop eco system like HDFS, Hive, MapReduce, etc. Experience working with RDBMS like Oracle, SqlServer, MySQL, etc Experience developing cloud based solutions 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. Travel Required: 0-5% 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.

Responsibilities

Design, develop, and deploy new data products leveraging a variety of data sources. Collaborate with data platform engineers, algorithm developers, and clinical experts to focus on key metrics for diabetic patients and clinicians.