Director of Data Science & Machine Learning Operations (MLOps) - Atlanta, GA or Northridge, CA
USA-GA Duluth
Full Time Executive-level / Director USD 258K+
Medtronic
Medtronic ist ein weltweiter Marktführer in Gesundheitstechnologie und den damit verbundenen Dienstleistungen und Lösungen. Wir arbeiten mit unseren Partnern zusammen, um gemeinsam den gewaltigen Herausforderungen des Gesundheitswesens zu...
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 LifeDo 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
Required Qualifications:
Master’s degree in statistics, computer science, mathematics, data science, or other quantitative disciplines and at least 12 years of relevant experience in data science or advanced analytics
OR
PhD’s degree with at least 10 years of experience in data science or advanced analytics
OR
Bachelor’s degree with 15+ years of experience in data science or advanced analytics
8+ years’ hands on experience in machine learning algorithms and techniques including supervised and unsupervised learning deep learning with extensive knowledge in time series analysis and natural language processing
You have built and grown team up to 10 individual contributors on onshore/offshore model and have been a manager of managers for 3+ years
Expertise in machine learning frameworks (TensorFlow, PyTorch)
Proficient with Databricks and MLOps tools
Strong programming skills in Python and SQL
Working experience with full-stack web development (Flask, Panel)
Proficiency in data manipulation and analysis using SQL and Spark
Hands-on experience in state-of-the-art ML and DL as applied to large-scale datasets
Experience working with Tableau, Plotly or similar opensource data apps tool
Hands-on experience with ML frameworks and libraries (Scikit-learn, NLTK)
Working experience in developing agentic workflows and scalable AI applications that drive innovation and deliver measurable impact
Expertise in vector Databases to enhance information retrieval, optimize knowledge management, and support cutting edge AI driven systems
Solid understanding of statistical concepts and techniques. Strong Math background
Solid understanding of feature engineering and model evaluation techniques
Hands-on experience with cloud computing platforms (AWS)
Hands-on experience with data orchestration tools and CI/CD (Github)
Expert in deploying and monitoring ML models
Built at least one end to end GenAI platform
Preferred Qualifications:
Experience working on Databricks platform
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.
The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role.
Benefits & CompensationMedtronic 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.
Medtronic benefits and compensation plans
About MedtronicWe 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 90,000+ 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.
It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.
Tags: Agile AWS CI/CD Computer Science Databricks Data strategy Deep Learning Engineering Feature engineering Flask Generative AI GitHub Healthcare technology Machine Learning Mathematics ML models MLOps Model deployment NLP NLTK PhD Plotly Python PyTorch R R&D Scikit-learn Spark SQL Statistical modeling Statistics Tableau TensorFlow Unsupervised Learning
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Health care
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