IT Architect (Data Scientist)

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 LifeOur Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes.
In this role as a Data Scientist in the Digital Technology team, you will work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

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

• Analyze large, complex datasets to identify trends, patterns, and insights.

• Develop and implement statistical models and machine learning algorithms to solve business problems.

• Develop processes and tools to monitor and Analyze model performance and data accuracy.

• Use software design principles to Develop production ready code.

• Collaborate with cross-functional teams to define project objectives and deliverables.

• Design and execute experiments to test hypotheses and validate models.

• Communicate findings and insights to stakeholders in a clear and concise manner.

• Stay up to date with the latest advancements in data science and machine learning techniques.

• Mentor and provide guidance to junior data scientists.

  Required Knowledge and Experience:

• Strong understanding of Machine Learning algorithms and techniques: supervised and unsupervised learning, deep learning. Good knowledge in Time Series Analysis and Natural Language Processing. 

• Strong programming skills in languages such as Python. Must be an expert in writing Machine Learning code.

• 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 Machine Learning and Deep Learning as applied to large-scale datasets.

• Hands-on experience with Machine Learning frameworks and libraries (PyTorch, Scikit-learn, NLTK).

• 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.

• Minimum 3 years of relevant experience, or advanced degree with a minimum of 4 years of relevant experience.

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. 

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.
 

This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

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. 
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