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Manager, Data Science Engineering
4 months ago
Medtronic-Digital Technologies is creating ambitious new products that bring connectivity, real-time guidance, and decision support to the operating room. To support this mission, we are developing compact, high-performance, embedded systems that enable edge computing and connectivity. Working closely with other teams across Medtronic, we are creating a connected ecosystem and leveraging the state of the art in computer vision to provide the most comprehensive view of surgery. If you’re interested in using cutting-edge technology to improve the standard of care in surgery on a global scale, this could be the place for you.
As a Principal Data Science Engineer, you will be responsible for:
# Delivering advanced analytics within the Surgical Operating Unit at Medtronic, focusing on Advanced Surgical Technologies such as electrosurgical generators and instruments.
# Developing and productionizing data products, delivering insights to our customers.
# Using statistical and predictive methods on signal processing data to understand customer behavior and product performance.
# Helping guide the design of our data infrastructure and models.
MSc or PhD in a Science, Engineering, Technology, or Mathematics (STEM) subject. A solid grounding in Structured Query Language (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. Experience of and ability to effectively use cloud native data science tooling. Extensive experience with Tableau and data build tool (dbt) or similar tooling.
Experience in using machine learning and AI tools for signal processing. Knowledge of data compliance including General Data Protection Regulation (GDPR) , Health Insurance Portability and Accountability Act (HIPAA) , and Service Organization Control Type 2 (SOC2) compliance policies. Experience in integration of highly heterogeneous data streams (IoT data, customer interactions, product metrics).
We offer a competitive salary and benefits package to all our employees:
Flexible working environment
Annual Incentive Plan % depending on company results
Pension scheme and group discount on healthcare insurance
Training possibilities via Cornerstone/Skills Lab
Employee Assistance Program and Recognize (our global recognition program)
Our unwavering commitment to inclusion, diversity, and equity (ID&E) means zero barriers to opportunity within Medtronic and a culture where all employees belong, are respected, and feel valued for who they are and the life experiences they contribute. We know equity starts beyond our workplace, and we must play a role in addressing systemic inequities in our communities if we hope to have long-term sustainable impact. Anchored in our Mission, we continue to drive ID&E forward both to enhance the well-being of Medtronic employees and to accelerate innovation that brings our lifesaving technologies to more people in more places around the world.
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