We are seeking a highly skilled and motivated Data Scientist to join our team and contribute to the success of critical projects in Healthcare Domain. The ideal candidate will have strong expertise in machine learning, deep learning, statistical modeling, and experience with AutoML tools. You will work closely with cross-functional teams to derive insights from complex datasets and build scalable data-driven solutions.
Key Responsibilities:
Analyze large and complex datasets to extract actionable insights and support data-driven decision-making.
Design, develop, and deploy machine learning and deep learning models for various business use cases.
Utilize AutoML tools (e.g., H2O.ai, Google Cloud AutoML, DataRobot) to accelerate model development.
Apply classical ML algorithms such as Logistic Regression, Decision Trees, Clustering (K-means, Hierarchical, SOM), PCA, Bayesian models, and Time Series forecasting (ARIMA/ARMA).
Implement deep learning techniques including CNNs, LSTMs, GRUs, and optimization methods like Adam, Adagrad, and regularization techniques (L1, L2).
Work on recommender systems using Collaborative Filtering, FPMC, FISM, Fossil, etc.
Develop and optimize models for NLP, speech, and image processing applications.
Use deep learning frameworks such as TensorFlow, Keras, PyTorch, XGBoost, Caffe, and Theano for model development and deployment.
Generate synthetic data using tools like Gretel.ai and Synthea when real data is limited or sensitive.
Collaborate using tools like Confluence for documentation and knowledge sharing.
Stay updated with the latest research and advancements in AI/ML and apply them to real-world problems.
Qualifications - External
Bachelor's or Masters degree in Computer Science, Data Science, Statistics, or a related field.
Atleast 6+ years of experience in Data Scientist and relevant stream
Strong programming skills in Python, R, and SQL.
Solid understanding of statistics, mathematics, and data modeling techniques.
Hands-on experience with AutoML platforms and deep learning frameworks.
Familiarity with synthetic data generation tools and their applications.
Excellent problem-solving skills and the ability to work independently or in a team.
Strong communication and documentation skills.
Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work.SM
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Keyskills: Cloud Machine Learning Deep Learning Python SQL
About: OptumInsight India Pvt Ltd, a UnitedHealth group company is a leading health services and innovation company dedicated to help make the health system work better for everyone. With more than 115,000 people worldwide, Optum combines technology, data and expertise to improve the delivery, ...