Job Description

Careers that Change Lives We believe that when people from different cultures, genders, and points of view come together, innovation is the result -- and everyone wins. Medtronic walks the walk, creating an inclusive culture where you can thrive.


Bring your talents to an industry leader in medical technology and healthcare solutions - we're a market leader and growing every day. You can be proud to be a part of technologies that are rooted in our long history of mission-driven innovation. You will be empowered to shape your own career. We support your growth with the training, mentorship, and guidance you need to own your future success. Together, we can transform healthcare.


As a Senior Data Scientist, you will work closely with our Hyperautomation capabilities. You will ensure that our solutions are high-quality, secure, and scalable, and that they meet the business needs and align with the IT strategy. You will also coordinate with other IT Technologists, stakeholders, and vendors to plan, execute, and support the development and implementation of departmental plans for insights and analytics capability development.


As an individual contributor with a mix of business savvy, strong analytical, interpersonal, and organizational skills, this position is responsible for collecting data, conducting statistical/predictive analysis, and building effective solutions/recommendations for the business. This role also requires adherence to policies that support health management, operational and financial metrics, and quality outcomes-focused initiatives and performance targets. Moreover, you will optimize AI models for performance, scalability, and efficiency using cloud-based resources and distributed computing frameworks.







A Day in the Life



Responsibilities may include the following and other duties may be assigned.


• Develop, examine, extract, and transform data pipelines to increase efficiency, inform decision-making, and gain a competitive edge.
• Conduct descriptive analysis on data to detect data quality problems. Perform advanced statistical analysis on experimental or business data to confirm and quantify trends or patterns identified by the business.
• Create predictive/prescriptive models, algorithms, and probability engines to support data analysis or product functions.
• Support tactical decision-making by using predictive and prescriptive modeling and extracting actionable insights by identifying patterns in structured and unstructured data like images.
• Evaluate the model and algorithm effectiveness based on real-world outcomes. Design experiments and methodologies to generate and collect data for business use.
• Build, deploy, automate, and maintain advanced analytics data pipelines. Complete ad hoc analytic stakeholder requests and projects by assessing data requirements, designing analytical studies, and delivering results and recommendations.
• Develop, examine, extract, and transform data pipelines to increase efficiency, inform decision-making, and gain a competitive edge.
• Design and deploy data pipeline prototypes into multiple data and analytics platforms.
• Optimize AI models for performance, scalability, and efficiency, using cloud-based resources and distributed computing frameworks.
• Build OCR models, Vision Inspection, Anomaly detection, time series forecast, NLP, Classification.
• Apply prompt engineering techniques to enhance the performance and accuracy of AI models.
• Leverage GEN AI skills to create and fine-tune AI models for various applications.
• Apply business area expertise to define and frame complex, multi-faceted projects and develop goals, direction, and work plans.
• Analyze performance data trends to identify opportunities for advanced analytics, quality improvements, and/or cost savings.
• Serve as a subject matter expert on the functionality and content of business products and tools.
• Lead, guide, train, and execute advanced analytics projects that improve business decisions.
Must Have: Minimum Requirements



• Bachelors / Masters Degree in engineering or MCA.
• Overall 8+ years of IT experience and 6 + years experience in Data Science.
• Proficiency in programming languages including Python, R, SQL, and NoSQL.
• Experience in visualizing advanced analytics models to business insights using tools such as Power BI and Tableau.
• Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience in designing and deploying distributed data processing frameworks including NoSQL databases and high-performance computing clusters.
• Experience in GENAI especially prompt engineering is a plus.
A self-starter motivated to correctly interpret business needs, possessing strong problem-solving skills, as well as the technical expertise needed to perform hands-on data analysis, research, and programming work.
•





About Medtronic





Together, we can change healthcare worldwide. At Medtronic, we push the limits of what technology, therapies and services can do to help alleviate pain, restore health and extend life. We challenge ourselves and each other to make tomorrow better than yesterday. It is what makes this an exciting and rewarding place to be.




We want to accelerate and advance our ability to create meaningful innovations - but we will only succeed with the right people on our team. Let's work together to address universal healthcare needs and improve patients' lives. Help us shape the future.




Physical Job Requirements




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, recruiter or local HR to understand the Work Conditions and Physical requirements that may be specific to each role. (ADA-United States of America)