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Director of Data Science & Machine Learning Operations (MLOps) - Atlanta, GA or Northridge, CA

Medtronic
United Statesfull_timeVerifiedPosted 27 Nov 2024
💰 $258,000/yr

About the role

We anticipate the application window for this opening will close on - 30 Dec 2024


 

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

Do you have passion to transform organizations from data driven to value driven? Would you like to work in an environment where your technical abilities will be challenged on every project? If so, you will be a great addition to Medtronic Diabetes Data and Analytics team .We are seeking a Director – Data Science & MLOps to drive high-impact projects and leading a team of talented data scientists. You will collaborate closely with cross-functional teams to develop advanced analytical models and actionable insights that fuel our growth and optimize our operations. You and your team will work across business lines. For exceptional candidate, remote location will be considered.

As a Director of – Data Science & MLOps, you will play a critical role in shaping our data strategy. The primary responsibility will be to apply advanced statistical modeling and computer science techniques to develop, validate, modify, and test modeling systems for specific business needs at an advanced level. You will lead business leaders to identify opportunities where AI can drive strategic value, translating these into actionable data science projects. You also oversee the implementation of MLOps practices in Databricks, ensuring efficient model deployment and scalability.

Our mission drives the need to be a highly skilled, flexible, extremely efficient, versatile, and agile in software product development for the benefit of our patients with Type 1 and Type 2 diabetes in need of intensive insulin therapy.

Diabetes impacts over 500 million people around the world — that’s roughly one in 10 adults. That means you probably know someone affected by this disease. At Medtronic, our 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 is designed to provide customers greater freedom and better health, helping them achieve better glucose control, while spending less time managing their disease.

Primary Responsibilities: 

  • Strategic Direction: Define and execute the data science roadmap, aligning with business objectives and driving innovation. Lead multiple high-impact strategic initiatives & driving successful execution 

  • MLOps Leadership: Establish and optimize MLOps processes for continuous integration and deployment of machine learning models 

  • Model Development: Oversee the development of advanced analytics and AI models, ensuring they meet business needs and ethical standards 

  • Collaboration: Work closely with data engineering and governance teams to ensure data availability and compliance 

  • Team Management: Lead and develop a team of data scientists and MLOps engineers, promoting professional growth 

  • Performance Monitoring: Implement systems to monitor model performance, data drift, and retraining needs. Use software design principles to develop production ready code 

  • Stakeholder Engagement: Communicate complex data science concepts to executive leadership and stakeholders 

  • Innovation: Stay current with AI advancements and integrate relevant technologies into the organization's practices 

  • Ethical Practices: Ensure all AI initiatives comply with ethical guidelines and regulatory requirements 

  • Resource Allocation: Manage budgets and resources effectively to maximize the impact of data science initiatives 

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Company

Medtronic

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