We anticipate the application window for this opening will close on - 20 Jun 2025

 

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.

A Day in the Life

The Diabetes Operating Unit focuses on improving the lives of those within the global diabetes community. As a business, we strive to empower people with diabetes to live life on their terms by delivering innovation that truly matters and providing support in the ways they need it. We’re committed to meeting people with diabetes where they are in their journey, always with an aim to make their lives easier. Our portfolio of innovative solutions are designed to provide customers greater freedom and better health, helping them achieve better glucose control, while spending less time managing their disease.

As a member of the Data Science & Analytics team, the Data Scientist will engage in statistical and exploratory analysis of datasets such as medical devices data (e.g. insulin pumps and glucose sensors) and smart wearable devices, alongside patient contextual data, and use the insights to guide and inform business decision making and operational changes.

This role will partner effectively with multiple cross-functional internal stakeholders and product managers to identify business opportunities and product features, work with data engineers to define need for technology infrastructure, and implement CI/CD pipelines following best practices.

A career at Medtronic is like no other. We’re purposeful. We’re committed. And we’re driven by our Mission to alleviate pain, restore health and extend life for millions of people worldwide.

This position is an exciting opportunity to work with Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. This separation provides our team with a bold opportunity to unleash our potential, enabling us to operate with greater speed and agility. As a separate entity, we anticipate leveraging increased investments to drive meaningful innovation and enhance our impact on patient care.

This position is onsite in Northridge, CA (Hybrid/3 days week)

Responsibilities may include the following and other duties may be assigned.

• Responsibilities may include the following and other duties may be assigned.

• Well versed in exploratory and statistical analysis of large datasets using Python (including NumPy, Pandas, Scikit-learn, SciPy, Anaconda)
• Experience with structured (SQL) databases and querying best practices
• Write and peer-review Python code, with an emphasis on efficiency and scalability, on code repositories using Git (GitHub and GitLab).
• Familiarity with cloud computing and storage technologies (Snowflake, Databricks, AWS)
• Ability to communicate with technical and non-technical stakeholders to gather needs and define requirements
• Have a high degree of initiative, self-motivation and curiosity; successfully work on projects in a deadline driven environment; possess strong engineering, analytical, and problem-solving skills in a fast-paced team environment.

Must Have:

• Bachelor’s degree in Computer Science, Engineering, Statistics, Math, or similar field

Nice to Have

• Robust and in-depth knowledge of Python, SQL, and/or other language used for analytics
• Proficiency with relational database technologies
• Excellent written and verbal communication skills; open to presenting information to cross functional audiences and leadership teams.
• Advanced degree in computer science, mathematics, systems engineering, mechanical engineering, or closely related field
• Experience writing production-level code
• Experience in a regulated environment, ideally within medical devices; medical data analytics (examples include data discovery, pattern recognition, machine learning and data modeling algorithms) Understanding of FDA regulations including (ISO) 13485
• Experience in CI/CD and DevOps practices
• Experience in key AWS services like S3, EC2, Lambda, CloudWatch, Sagemaker
• Experience in NoSQL technologies including graph, document, and key-value data storage technologies
• Experience with Large Language Models (LLMs)

#LI-DNI

Physical Job Requirements

The above statements are intended to describe the general nature and level of work being performed by employees a