Job Description

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 a 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 lead 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. For exceptional candidates, a 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 will also oversee the implementation of MLOps practices in Databricks, ensuring efficient model deployment and scalability. Our mission drives the need to be 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. **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. Experience building and growing a team of up to 10 individual contributors on an onshore/offshore model and being 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 open-source data apps tools. 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 the Databricks platform. **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. Salary ranges for U.S. (excluding PR) locations (USD): $172,000.00 - $258,000.00. This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP). This position is eligible for an annual long-term incentive plan. **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 90,000+ passionate people. 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. #J-18808-Ljbffr Medtronic

Job Tags

Similar Jobs