• Job Description

  Req#: R54569

  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

  We are looking for a motivated individual with strong analytical skills to join our team. The Advanced Analytics Analyst will be responsible for ownership, design, deployment, and support of the Artificial Intelligence /Machine Learning (AI/ML) models, pipelines, and tools supporting Global Operations & Supply Chain. The goal is to help drive proactive intelligent decisions at scale with predictive / prescriptive analytics and structured analysis of broad sets of data. The candidate will work closely with the leaders to strategize, build, execute, and productionize AI/ML programs that enable insights into key drivers of strategic imperatives and operations metrics. They will empower leaders to make proactive decisions that improve business outcomes and service to our customers in a cost-effective way.
  
  
  The position will also focus on efficiency, accuracy, and reliability of ML models. A successful candidate will have in-depth technical knowledge of machine learning and signal processing methodologies and would take part in the full cycle of the development process which includes but is not limited to the design, implementation, debugging, testing and integration with other subsystems.
  
  
  This is a hybrid position based in Bogotá, Colombia.

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

  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 stories and insights to the non-technical community, describe model outcomes to the technical team. Lead and mentor other data scientists on the team

  Require d Knowledge and Experience :

  • Fluent in English (written and verbal)

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

  • Minimum of 3 years of relevant experience

  • 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

  Nice to Have:

  • Expertise in AI/ML tools (Azure ML, Dataiku, etc.)

  • 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
  

• About the company

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