Data Scientist
Optum (company site, opens in a new tab)6+ yrsNoidaOn-siteDirect career pageEst. 25–40 LPA
Posted on 7 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, validate, and deploy machine learning and predictive analytics models including classification, regression, forecasting, and recommendation systems to solve complex business problems.
- Operationalize AI/ML solutions including monitoring model performance, handling model drift, and implementing continuous improvement and retraining strategies.
- Apply advanced techniques such as NLP, Generative AI, LLMs, RAG, and agentic AI frameworks for real-world business applications, translating business requirements into scalable ML solutions.
Minimum Requirements
- 6+ years of experience in Data Science, Machine Learning, Applied Statistics, or related field.
- Proficiency in Python, SQL, and ML frameworks such as Scikit-learn, XGBoost, TensorFlow, or PyTorch.
- Solid understanding of machine learning algorithms, statistical modeling, model validation, and risk management.
- Familiarity with MLOps practices including CI/CD pipelines, model monitoring, and production deployment frameworks.
Ideal Candidate Profile
- Experienced in end-to-end ML model lifecycle from development to production deployment in a business context.
- Demonstrated ability to apply and operationalize cutting-edge AI technologies like Generative AI, LLMs, and RAG architectures within analytics solutions.
- Skilled in translating complex business challenges into analytical frameworks leveraging both traditional ML and advanced AI methods.