Medtronic LABS

Data Scientist

Medtronic LABS Bengaluru, Karnataka, India

Direct message the job poster from Medtronic LABS

Anisha Bafna

Anisha Bafna

Talent Consultant @ Shortlist | Connecting talent to opportunity across Africa, Asia and beyond (We're always hiring)

About Medtronic Labs:


Medtronic LABS is the only health systems innovator that develops community-based, tech-enabled solutions for underserved patients, families, and communities across the world. By bridging hyper-local services with cutting-edge technology, they provide sustainable and localized healthcare solutions that produce measurable patient outcomes for all. To know more, visit their website at https://www.medtroniclabs.org/.


About the role:


Medtronic Labs is seeking a highly skilled and motivated Data Scientist to join their dynamic team.

As a Data Scientist, you will have the opportunity to apply your expertise in machine learning, data science, and statistical analysis to tackle complex challenges in healthcare. You will play a pivotal role in advancing the organization's capabilities by researching, designing, and implementing cutting-edge algorithms and models. From regression analysis to deep learning, you will work with diverse datasets to extract actionable insights and develop data-driven solutions.

This role offers an exciting opportunity to collaborate with cross-functional teams, explore recent trends in data science, and contribute to the development of innovative solutions that have a tangible impact on healthcare.


Location: Bangalore (Full time)


What you’ll get to do


  • Collaborate with the team to enhance their understanding of healthcare data. Detect trends, patterns, and actionable insights within complex datasets, enabling well-informed decision-making.
  • Implement advanced modeling techniques, encompassing machine learning, deep learning, time series analysis, and more.
  • Follow coding standards and best practices within the data science team. With a strong emphasis on readability, scalability, and reproducibility.
  • Forge close collaborations with cross-functional teams to identify opportunities for data-driven enhancements and translate data insights into actionable recommendations.
  • Stay up to date on the latest advancements in data science, machine learning, and healthcare analytics.


To succeed in this role, you should have


  • Proven experience in machine learning, data science, and statistical analysis through professional projects or academic research.
  • Strong understanding of statistical concepts including regression, decision trees, and deep learning.
  • Demonstrated ability to develop and implement algorithms and models for regression analysis, logistic regression, survival analysis, and propensity score matching.
  • Proficiency in Python and R programming languages for data analysis and modeling.
  • Proficiency in SQL and other query languages to extract, transform, and analyze data.
  • Familiarity with machine learning libraries and frameworks such as TensorFlow, PyTorch.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and collaboration abilities.


Nice to have:


  • Master's degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
  • Demonstrated contributions to the field of artificial intelligence and machine learning, including publications, projects, or open-source contributions.
  • Previous experience in healthcare and healthcare data is a plus.


Travel: Up to 10%, including international


Education: Bachelors or Master’s in Computer Science, Information Management, Business Analytics, Statistics, or related field. Concentration in data analytics or data science.


Shortlist, on behalf of Medtronic Labs, is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

  • Seniority level

    Mid-Senior level
  • Employment type

    Full-time
  • Job function

    Project Management and Information Technology
  • Industries

    Hospitals and Health Care

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