Data Scientist

Dexcom
Edinburgh
3 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Dexcom Edinburgh, Scotland, United Kingdom

Dexcom Edinburgh, Scotland, United Kingdom

Overview

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. 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.

We are a new team in R&D building new connected experiences for users across devices and services. 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 leveraging 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.

Responsibilities
  • 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.

Seniority level
  • Not Applicable
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
  • Industries
  • Medical Equipment Manufacturing

Referrals increase your chances of interviewing at Dexcom by 2x

Sign in to set job alerts for “Data Scientist” roles.

Glenrothes, Scotland, United Kingdom 3 weeks ago

Edinburgh, Scotland, United Kingdom 5 days ago

Edinburgh, Scotland, United Kingdom 2 weeks ago

Edinburgh, Scotland, United Kingdom 4 weeks ago

Edinburgh, Scotland, United Kingdom 3 days ago

Edinburgh, Scotland, United Kingdom 5 days ago

Edinburgh, Scotland, United Kingdom 1 week ago

Edinburgh, Scotland, United Kingdom 3 days ago

Edinburgh, Scotland, United Kingdom 1 month ago

Edinburgh, Scotland, United Kingdom 3 months ago

Edinburgh, Scotland, United Kingdom 2 months ago

Edinburgh, Scotland, United Kingdom 1 day ago

Edinburgh, Scotland, United Kingdom 2 weeks ago

Edinburgh, Scotland, United Kingdom 2 months ago

Edinburgh, Scotland, United Kingdom 1 day ago

Edinburgh, Scotland, United Kingdom 2 months ago

Edinburgh, Scotland, United Kingdom 1 month ago

Edinburgh, Scotland, United Kingdom 17 hours ago

Edinburgh, Scotland, United Kingdom 6 days ago

Edinburgh, Scotland, United Kingdom 6 months ago

Edinburgh, Scotland, United Kingdom 4 months ago

Edinburgh, Scotland, United Kingdom 3 days ago

Edinburgh, Scotland, United Kingdom 9 months ago

Edinburgh, Scotland, United Kingdom 1 week ago

Edinburgh, Scotland, United Kingdom 15 hours ago

Edinburgh, Scotland, United Kingdom 1 week ago

Edinburgh, Scotland, United Kingdom 1 week ago

Edinburgh, Scotland, United Kingdom 5 days ago

Edinburgh, Scotland, United Kingdom 4 weeks ago

Riccarton, Scotland, United Kingdom 2 months ago

Edinburgh, Scotland, United Kingdom 2 weeks ago

Software Engineer - Solutions Engineering

Edinburgh, Scotland, United Kingdom 3 months ago

We\u2019re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.