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Principal Data Scientist AI / ML

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Medtronic

Jan 10, 2025

  • Job
    Full-time
    Expert Level
  • Data
    Software Engineering
  • Hyderabad
  • Quick Apply

AI generated summary

  • You should have 14+ years in software, 8+ years in AI/ML, strong programming skills in Python/R/SQL, experience with cloud platforms, MLOps, and expertise in ML algorithms and tools.
  • You will lead the ML lifecycle, collaborate on business needs, design models, ensure data quality, optimize performance, deploy models, mentor juniors, and stay updated on ML advancements.

Requirements

  • Bachelors / Master’s of Engineering in Computer Science, Statistics, Mathematics, or a related technical field.
  • 14+ years of total experience in software industry, preferably working with data analytics.
  • 8+ years of in-depth experience in building and maintaining large-scale, enterprise-grade machine learning / AI models.
  • Strong understanding of the entire machine learning lifecycle, from data exploration to production.
  • Proficiency with one or more of the following programming languages: Python, R, SQL.
  • Proficiency in tools such as Jupyter, Git, and cloud-based ML services.
  • In-depth knowledge of various machine learning algorithms (supervised, unsupervised, deep learning) and their applications.
  • Expertise in machine learning frameworks like scikit-learn, TensorFlow, or PyTorch for model development and training.
  • Experience working with text and/or image data for machine learning tasks (Natural Language Processing, Computer Vision).
  • Hands-on experience with data visualization tools such as Tableau or PowerBI.
  • Excellent problem-solving and analytical skills with a passion for innovation.
  • Strong communication, collaboration, and leadership skills to effectively lead and influence cross-functional teams.
  • Experience with cloud platforms (AWS, Azure, GCP) for machine learning deployments.
  • Experience with MLOps practices for automating and managing the ML lifecycle.
  • Experience with explainable AI (XAI) techniques for interpreting model behavior.
  • Strong software engineering skills (Python) and experience with building production-grade pipelines.

Responsibilities

  • Champion the entire ML lifecycle, from data exploration and feature engineering to model selection, training, evaluation, deployment, and maintenance.
  • Collaborate with data scientists, engineers, and product managers to understand business needs and translate them into effective ML solutions.
  • Actively participate in defining data requirements, ensuring clarity and feasibility with a focus on machine learning implementation.
  • Design, develop, and implement machine learning models using various algorithms (supervised, unsupervised, deep learning) and frameworks (scikit-learn, TensorFlow, PyTorch).
  • Lead the process of data preparation, cleaning, and transformation to ensure high-quality training data for models.
  • Fine-tune and optimize model performance through hyperparameter tuning and other techniques.
  • Evaluate model effectiveness using rigorous metrics and ensure interpretability and explainability of results.
  • Lead the deployment of ML models into production environments and monitor their performance over time.
  • Lead design reviews, model development, providing technical insights and best practices.
  • Stay up-to-date on the latest advancements in ML research and best practices.
  • Mentor and guide junior machine learning engineers within the team.

FAQs

What is the primary role of the Principal Data Scientist AI / ML at Medtronic?

The primary role is to lead the development and deployment of impactful machine learning models that address complex healthcare challenges, collaborating with cross-functional teams to translate business needs into effective ML solutions.

What qualifications are required for this position?

A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related technical field is required, along with 14+ years of experience in the software industry and 8+ years specifically in building and maintaining enterprise-grade machine learning models.

What programming languages should candidates be proficient in?

Candidates should be proficient in one or more programming languages, including Python, R, and SQL.

Is experience with cloud platforms necessary for this role?

Yes, experience with cloud platforms such as AWS, Azure, or GCP for machine learning deployments is required.

Will the Principal Data Scientist be involved in mentoring junior staff?

Yes, the role includes mentoring and guiding junior machine learning engineers within the team.

What tools and frameworks should candidates be familiar with?

Candidates should be familiar with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch, as well as data visualization tools such as Tableau or PowerBI.

What are the expectations around model deployment?

The Principal Data Scientist is expected to lead the deployment of ML models into production environments and monitor their performance over time.

Does the position involve collaboration with other teams?

Yes, the role requires collaboration with data scientists, engineers, and product managers to understand business needs and create effective ML solutions.

How does Medtronic support professional development?

Medtronic supports professional development through a variety of resources, mentoring opportunities, and by encouraging continuous learning to stay updated with advancements in ML research.

What is the approach of Medtronic towards healthcare technology?

Medtronic aims to alleviate pain, restore health, and extend life by tackling challenging health problems with innovative healthcare technologies and solutions.

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Medtronic

Engineering the extraordinary

Science & Healthcare
Industry
10,001+
Employees

Mission & Purpose

Medtronic is a global medical technology company that designs, manufactures, and markets a wide range of medical devices and therapies. The company's products and solutions cover a broad spectrum of healthcare areas, including cardiac and vascular therapies, diabetes management, neurological and spinal treatments, surgical technologies, and more. Medtronic's ultimate mission is to improve the lives of patients around the world by advancing medical innovation, providing life-saving and life-enhancing solutions, and transforming the way healthcare is delivered. Their purpose is to alleviate pain, restore health, and extend the lives of patients through cutting-edge medical technologies, personalised therapies, and continuous research and development. With a commitment to delivering quality and affordable healthcare solutions, Medtronic seeks to make a positive impact on patients, healthcare professionals, and healthcare systems worldwide.