Senior AI/Data Science Engineer - Data Scientist

IND-TS Hyderabad Nanakramguda

Medtronic

Medtronic ist ein weltweiter Marktführer in Gesundheitstechnologie und den damit verbundenen Dienstleistungen und Lösungen. Wir arbeiten mit unseren Partnern zusammen, um gemeinsam den gewaltigen Herausforderungen des Gesundheitswesens zu...

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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 LifeAs a Senior Data Scientist, you will work closely with our Hyperautomation capabilities. You will ensure that our solutions are high-quality, secure, and scalable, and that they meet the business needs and align with the IT strategy. You will also coordinate with other IT Technologists, stakeholders, and vendors to plan, execute, and support the development and implementation of departmental plans for insights and analytics capability development.
As an individual contributor with a mix of business savvy, strong analytical, interpersonal, and organizational skills, this position is responsible for collecting data, conducting statistical/predictive analysis, and building effective solutions/recommendations for the business. This role also requires adherence to policies that support health management, operational and financial metrics, and quality outcomes-focused initiatives and performance targets. Moreover, you will optimize AI models for performance, scalability, and efficiency using cloud-based resources and distributed computing frameworks.

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

  • Develop, examine, extract, and transform data pipelines to increase efficiency, inform decision-making, and gain a competitive edge.
  • Conduct descriptive analysis on data to detect data quality problems. Perform advanced statistical analysis on experimental or business data to confirm and quantify trends or patterns identified by the business.
  • Create predictive/prescriptive models, algorithms, and probability engines to support data analysis or product functions.
  • Support tactical decision-making by using predictive and prescriptive modeling and extracting actionable insights by identifying patterns in structured and unstructured data like images.
  • Evaluate the model and algorithm effectiveness based on real-world outcomes. Design experiments and methodologies to generate and collect data for business use.
  • Build, deploy, automate, and maintain advanced analytics data pipelines. Complete ad hoc analytic stakeholder requests and projects by assessing data requirements, designing analytical studies, and delivering results and recommendations.
  • Develop, examine, extract, and transform data pipelines to increase efficiency, inform decision-making, and gain a competitive edge.
  • Design and deploy data pipeline prototypes into multiple data and analytics platforms.
  • Optimize AI models for performance, scalability, and efficiency, using cloud-based resources and distributed computing frameworks.
  • Build OCR models, Vision Inspection, Anomaly detection, time series forecast, NLP, Classification.
  • Apply prompt engineering techniques to enhance the performance and accuracy of AI models.
  • Leverage GEN AI skills to create and fine-tune AI models for various applications.
  • Apply business area expertise to define and frame complex, multi-faceted projects and develop goals, direction, and work plans.
  • Analyze performance data trends to identify opportunities for advanced analytics, quality improvements, and/or cost savings.
  • Serve as a subject matter expert on the functionality and content of business products and tools.
  • Lead, guide, train, and execute advanced analytics projects that improve business decisions.

Required Knowledge and Experience: 

  • Bachelors / Masters Degree in engineering or MCA.
  • Overall 8+ years of IT experience and 6+ years experience in Data Science.
  • Proficiency in programming languages including Python, R, SQL, and NoSQL.
  • Experience in visualizing advanced analytics models to business insights using tools such as Power BI and Tableau.
  • Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience in designing and deploying distributed data processing frameworks including NoSQL databases and high-performance computing clusters.
  • Experience in GENAI especially prompt engineering is a plus.
  • A self-starter motivated to correctly interpret business needs, possessing strong problem-solving skills, as well as the technical expertise needed to perform hands-on data analysis, research, and programming work.

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  
 

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Tags: AWS Azure Classification Data analysis Data pipelines Data quality Engineering GCP Generative AI Google Cloud Healthcare technology NLP NoSQL OCR Pipelines Power BI Prompt engineering Python R R&D Research SQL Statistics Tableau Unstructured data

Perks/benefits: Career development Competitive pay Equity / stock options Health care

Region: Asia/Pacific
Country: India

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