Data Science Manager, Digital Technologies

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Data Science Manager, Digital Technologies

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Data Science Manager, Digital Technologies

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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 Digital Technologies Business Unit (DTBU) at Medtronic is implementing cutting-edge AI technology, computer vision, and augmented reality in the operating room (OR) to augment surgical coaching, and eventually, performance. Our goal is to deliver safer surgery around the world.

Our Touch SurgeryTM Video solution is an innovative video management and data analytics platform for hospitals that includes the DS1 Computer, our first OR device, allowing surgeons, OR team members, and trainees to securely access videos of their procedures shortly after surgery.

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

Manage a team of data scientists within the Surgical Operating Unit at Medtronic.
Lead advanced analytics initiatives to foster a data-driven culture within Medtronic.
Act as a key stakeholder in the design and development of data infrastructure and models.
Guide the team in applying statistical and predictive methods to analyze customer behavior and product performance.
Oversee the development and productization of data products, delivering actionable insights to customers.
Support the professional development of team members and strengthen their technical capabilities.
Drive innovation and continuous improvement in data practices and analytics strategies.

Required Knowledge and Experience:

MSc or PhD in a STEM subject.
Previous experience managing teams of data scientists.
A solid grounding in SQL with a good understanding of best practices in software engineering and data engineering.
Practical object-oriented programming experience in Python with knowledge of relevant packages including Pandas, NumPy, SciPy, Matplotlib, Scikit-learn, Pytorch.
In-depth knowledge of statistical and machine learning models as well as experience with end-to-end delivery lifecycles.
Experience in writing clean and maintainable code for collaborative working and using code versioning tools.
Excellent communicator and experience with stakeholder management.
Self–starter mindset – you can proactively identify issues and opportunities for improvement.
Experience of and ability to effectively use cloud native data science tooling.
Extensive experience with Tableau and dbt or similar tooling.

Ideally, you will bring knowledge of data compliance frameworks, including GDPR, HIPAA, and SOC2 policies. Experience integrating highly heterogeneous data streams—such as IoT data, customer interactions, and product performance metrics—is also valuable. Additionally, domain knowledge in health technology or surgical practice would be a strong asset.

Physical Job Requirements

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.

Benefits & Compensation

Medtronic offers a competitive Salary and flexible Benefits Package

A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.

This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

About Medtronic

We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.

Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people.

We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.

Learn more about our business, mission, and our commitment to diversity here

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
Medical Equipment Manufacturing, Hospitals and Health Care, and Pharmaceutical Manufacturing

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