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Data, analytics and cloud/edge jobs

A commitment to data, tools, and resources

Our founder, Dr. Homer Stryker, said “If your tools don’t work, make them work. If you can’t make them work, make some that do work.”

Our data teams use their analytical expertise to do just that by solving complex problems, driving efficiencies and delivering solutions that make healthcare better.

Our mission driven data teams are at the forefront of leading-edge work and have a direct impact on driving process and product improvements.

A culture of development

At Stryker, you are given the tools and resources to grow your career in whatever way you choose. Data scientists are empowered to explore available career paths and movement is encouraged to different functional, leadership or global roles.

Our global data community is given opportunities to share best practices throughout the organization. Through a variety of internal events, employees from around the globe have the ability to learn from thought leaders in the company, network with fellow data colleagues and celebrate achievements.

Explore roles in AI, analytics, data and cloud/edge

Deep learning, machine learning and generative AI applies to medical devices and business data. As AI continues to evolve, it will not only drive business efficiencies, but also contribute to the development of innovative and life-saving medical technologies, ultimately transforming the landscape of modern medicine.

AI roles at Stryker include:

  • Data scientists
  • Computer vision engineers
  • Machine learning engineers
  • GenAI engineers

Analytics at Stryker play a pivotal role in harnessing and translating data into meaningful insights that inform business strategy. As the healthcare industry continues to embrace data-driven decision-making, analytics will remain essential for improving patient outcomes, reducing costs and driving innovation in the field.

Analytics roles at Stryker include:

  • Data analysts
  • Business intelligence
  • Power BI engineers
  • Dashboard developers

Data engineering, architecture and cloud/edge professionals support our internal business ecosystem and the products we deploy for our customers. This encompasses designing and building data infrastructure, managing data quality and security, ensuring efficient data storage and retrieval and enforcing data governance policies. Together, they enable the organization to acquire, store, transform, model and analyze data efficiently and effectively, facilitating data-driven decision-making to support our customers and reach our organizational goals.

Data roles at Stryker include:

  • Data engineers
  • Data architects
  • Data governance
  • DataOps

Cloud/ edge roles at Stryker include:

  • Cloud architects
  • MLOps engineers
  • Machine learning engineers
  • Software engineers
  • Systems engineers
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