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- Tasks: Design and develop innovative data products to improve diabetes management.
- Company: Join Dexcom, a leader in continuous glucose monitoring technology.
- Benefits: Comprehensive benefits, career growth, and access to cutting-edge health tech.
- Why this job: Make a real impact on health with data-driven solutions for millions.
- Qualifications: Experience in data engineering, machine learning, and cloud systems required.
- Other info: Dynamic team environment with opportunities for personal and professional development.
The predicted salary is between 28800 - 48000 £ per year.
Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). We are broadening our vision beyond diabetes to empower people to take control of health with personalized, actionable insights aimed at solving important health challenges. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions.
Our R&D team is looking for a Data Scientist with experience in 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 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.
As part of this team you’ll shape and implement new data-based products that will help millions of people manage diabetes more effectively. If you enjoy connecting the dots, using data-driven engineering decisions, and 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, and an 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.
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
- Strong Experience working with Python and ML Libraries
- Strong understanding of database systems - database design, performance tuning, etc.
- Able to work efficiently in a 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 ecosystem like HDFS, Hive, MapReduce, etc.
- Experience working with RDBMS like Oracle, SqlServer, MySQL, etc.
- Experience developing cloud-based solutions
- 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%
Data Scientist employer: Dexcom Deutschland GmbH
Contact Detail:
Dexcom Deutschland GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Dexcom on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the R&D team.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data projects, especially those involving machine learning and cloud-based solutions. This will give you an edge during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your Python and ML libraries before the interview. Be ready to discuss your experience with modern cloud systems and how you've tackled challenges in past projects.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Dexcom team.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, machine learning libraries, and cloud-based systems like GCP. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and how you can contribute to our mission at Dexcom. We love seeing candidates who connect their personal goals with our vision.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links to your GitHub or any portfolio showcasing your work with APIs, cloud solutions, or machine learning models. We’re keen to see your practical experience!
Apply Through Our Website: Remember to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Dexcom Deutschland GmbH
✨Know Your Data Tools
Make sure you brush up on your knowledge of Python and the ML libraries mentioned in the job description. Be ready to discuss how you've used these tools in past projects, especially in cloud environments like GCP or AWS.
✨Understand the Company’s Mission
Dexcom is all about changing diabetes management. Familiarise yourself with their products and how they impact users. This will help you align your answers with their mission and show that you're genuinely interested in contributing to their goals.
✨Showcase Your Team Spirit
Since you'll be working in a Scrum-based team, be prepared to share examples of how you've collaborated with others in previous roles. Highlight your ability to adapt and thrive in dynamic environments, as this is crucial for success in their R&D team.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about data engineering and machine learning. Brush up on your understanding of database systems, container-based platforms, and cloud solutions. Practising coding problems or system design questions can also give you an edge.
