Principal Data Scientist

Medtronic; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a seasoned professional to lead innovative machine learning initiatives. This role involves developing and optimizing machine learning models, managing data analytics processes, and mentoring a team of data scientists. You will work in a dynamic environment, collaborating with cross-functional teams to drive impactful solutions in healthcare technology. If you are passionate about leveraging data to improve healthcare access and equity, this is the perfect opportunity to make a significant difference in people's lives.

Benefits

Flexible Benefits Package

Short-term incentive plan

Health insurance

Retirement plans

Professional development opportunities

Employee recognition programs

Qualifications

• 7+ years of experience in machine learning and data engineering.
• Proficient in Python and R with strong data analytics skills.
• Ability to lead and mentor a team of data scientists.

Responsibilities

• Implement strategic imperatives for Global Ops programs.
• Analyze and visualize large data sets to generate insights.
• Develop and maintain machine learning infrastructure.

Skills

Machine Learning

Data Engineering

Software Development

SQL

Python

R

Data Analytics

Leadership

Education

Bachelor’s degree in science, engineering, or technical discipline

Advanced degree in science, engineering or technical discipline

Tools

Azure ML

Databricks

Git

Docker

Kubernetes

AWS

Azure

PowerBI

Informatica

Job description

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

Responsibilities include the following:

Execution:

• Work independently and as a part of large teams to implement strategic imperatives and establish operational plans for multiple Global Ops programs. Recognized master in professional discipline
• Analyze, quantify, and visualize large amounts of data from multiple disparate sources to generate verifiable conclusions
• Develop, inspect, transform, mine, and model data to support business processes with statistical significance, forecasting, anomaly detection, decision trees, logistic regression, probabilities, etc.
• Manage all aspects of end-to-end analytics, model execution, data accuracy monitoring, drift monitoring, model re-training, utilizing customized report building functions of systems
• Develop, configure, and maintain our machine learning infrastructure and pipelines, ensuring they are scalable, reliable, and secure.
• Work closely with data scientists to operationalize machine learning models, including deployment, monitoring, and version control.
• Implement automated processes for data validation, model training, model evaluation, and model deployment.
• Optimize machine learning workflows for performance and efficiency.
• Develop tools and frameworks to enable end-to-end automation of the machine learning lifecycle.
• Monitor and analyze model performance and data quality and troubleshoot any issues that arise.

Lead, Mentor, and Evangelize:

• Partner with AI/ML practitioners inside and outside Medtronic to bring the latest best practices, tools, and techniques
• Stay up-to-date with the latest technologies and practices in MLOps and incorporate them into our workflows as appropriate.
• Communicate data story and insights to the non-technical community, describe model outcomes to technical team. Lead and mentor other data scientists on the team

Minimum Qualifications:

• Bachelor’s degree in science, engineering, or technical discipline required and a minimum of 7 years relevant experience OR
• Advanced degree in science, engineering or technical discipline and 5 years of relevant experience

Preferred Qualifications:

• Strong experience in machine learning, data engineering, and software development
• Data query skills with SQL
• Hands-on experience with building and productionizing AI/ML Models
• Proficient in Python and R. Familiarity with machine learning frameworks
• Expertise in setting up and maintaining Git for version control and deliverables management
• Experience with DevOps tools (e.g., Docker, Kubernetes) and cloud services (AWS, Azure)
• Expertise in BI tools (PowerBI, etc.) in a large-scale, complex business environment
• Understanding of ETL methodologies and tools (Informatica, etc.)
• Experience working with Global Operations of large organizations, preferably in medical devices.
• Ability to learn, lead, mentor, educate and support team members
• Excellent understanding of data analytic and statistical tools, capable of explaining the underlying concepts and principles.
• Experience working with large volumes of data from multiple operations functions
• Proven leadership skills and business acumen; performance driven. Proven track record of taking ownership and driving results.
• Excellent oral and written communications skills with the ability to interface and influence at all organizational levels.
• Demonstrated ability in managing/supporting multiple projects in a deadline driven environment.
• High level of initiative and passion to drive change.

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).

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

Responsibilities include the following:

Execution:

• Work independently and as a part of large teams to implement strategic imperatives and establish operational plans for multiple Global Ops programs. Recognized master in professional discipline
• Analyze, quantify, and visualize large amounts of data from multiple disparate sources to generate verifiable conclusions
• Develop, inspect, transform, mine, and model data to support business processes with statistical significance, forecasting, anomaly detection, decision trees, logistic regression, probabilities, etc.

Productionization:

• Manage all aspects of end-to-end analytics, model execution, data accuracy monitoring, drift monitoring, model re-training, utilizing customized report building functions of systems
• Develop, configure, and maintain our machine learning infrastructure and pipelines, ensuring they are scalable, reliable, and secure.
• Work closely with data scientists to operationalize machine learning models, including deployment, monitoring, and version control.
• Implement automated processes for data validation, model training, model evaluation, and model deployment.
• Optimize machine learning workflows for performance and efficiency.
• Develop tools and frameworks to enable end-to-end automation of the machine learning lifecycle.
• Monitor and analyze model performance and data quality and troubleshoot any issues that arise.

Lead, Mentor, and Evangelize:

• Partner with AI/ML practitioners inside and outside Medtronic to bring the latest best practices, tools, and techniques
• Stay up-to-date with the latest technologies and practices in MLOps and incorporate them into our workflows as appropriate.
• Communicate data story and insights to the non-technical community, describe model outcomes to technical team. Lead and mentor other data scientists on the team

Minimum Qualifications:

• Bachelor’s degree in science, engineering, or technical discipline required and a minimum of 7 years relevant experience OR
• Advanced degree in science, engineering or technical discipline and 5 years of relevant experience

Preferred Qualifications:

• Strong experience in machine learning, data engineering, and software development
• Expertise in AI/ML tools (Azure ML, Databricks, etc.)
• Data query skills with SQL
• Hands-on experience with building and productionizing AI/ML Models
• Proficient in Python and R. Familiarity with machine learning frameworks
• Expertise in setting up and maintaining Git for version control and deliverables management
• Experience with DevOps tools (e.g., Docker, Kubernetes) and cloud services (AWS, Azure)
• Expertise in BI tools (PowerBI, etc.) in a large-scale, complex business environment
• Understanding of ETL methodologies and tools (Informatica, etc.)
• Experience working with Global Operations of large organizations, preferably in medical devices.
• Ability to learn, lead, mentor, educate and support team members
• Excellent understanding of data analytic and statistical tools, capable of explaining the underlying concepts and principles.
• Experience working with large volumes of data from multiple operations functions
• Proven leadership skills and business acumen; performance driven. Proven track record of taking ownership and driving results.
• Excellent oral and written communications skills with the ability to interface and influence at all organizational levels.
• Demonstrated ability in managing/supporting multiple projects in a deadline driven environment.
• High level of initiative and passion to drive change.

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 95,000+ 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