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 benefits 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.  

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.

Primary 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 Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or a related field 6+ years of experience in Data Scientist and relevant stream Hands-on experience with AutoML platforms and deep learning frameworks Familiarity with synthetic data generation tools and their applications Solid programming skills in Python, R, and SQL Solid understanding of statistics, mathematics, and data modeling techniques Proven excellent problem-solving skills and the ability to work independently or in a team Proven solid communication and documentation skills

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.