Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive advantages and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities

Drive client value by:
Developing predictive models using various machine learning algorithms/best practices
Developing and running scripts for ML model inference
Testing various hypothesis and presenting back to the technical/non-technical audience
Performing cost benefit analysis for various DS initiatives
Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions
Creating artifacts like STM, HLD,



LLD for hardening prototypes into production (prototype to hardening)
Be able to apply knowledge of data modeling, statistics, machine learning, programming, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to more actionable insights
Working with analytics and statistical software and products, such as SQL, R, Python, Hadoop and others to perform analysis and interpret data
Communicate the performance of the machine learning algorithms across an interdisciplinary team
Create impact at scale by:
Developing and managing a comprehensive catalog of scalable data services that expand the value of analytical offerings
Looking for opportunities for continuous improvement/optimization of models in production
Data Drift
Champion (Prod Model) Vs Challenger (Enhanced Dev Model)
Implementing best practices on ML architecture/workflows etc
Collaborating with business

📌 Senior Data Scientist (Hyderabad)
🏢 Optum India
📍 Hyderabad