Senior Data Scientist

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.

Primary Responsibilities:

• Lead end‑to‑end development of machine learning and AI solutions, from problem definition to production deployment
• Collaborate with cross‑functional teams to identify business opportunities and translate them into data‑driven solutions
• Build, optimize, and maintain scalable data pipelines and ML models using modern data science and MLOps practices
• Perform advanced analytics, feature engineering, and statistical modeling to derive actionable insights
• Develop and implement NLP, LLM, time‑series, or deep learning models as required by business use cases
• Ensure model performance, quality, and stability through monitoring, retraining strategies, and experimentation
• Mentor junior data scientists/analysts and contribute to best‑practice standards for modeling, coding, and documentation
• Communicate technical results effectively to leadership through dashboards, visualizations, and presentations
• Partner with engineering teams to productionize models using CI/CD, MLflow, and cloud ML platforms
• Drive innovation by researching and evaluating new AI technologies, frameworks, and methodologies
• 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:

• B-Tech CSE graduate
• Post graduation in Statistics/Mathematics or any related subject
• Data science certification
• 5+ years of hands‑on experience in data science, machine learning, and advanced analytics.
• 5+ years of experience building and deploying production‑grade ML models (classification, regression, NLP, forecasting).
• Expert-level proficiency in Python and SQL, with ML/DL libraries (e.g., Scikit‑learn, TensorFlow, PyTorch) with 5+ years of experience
• 2+ years of experience working with big‑data technologies such as PySpark/Spark or distributed data platforms.
• 2+ years of experience with cloud platforms (Azure, AWS, or GCP) for model training and deployment.
• 2+ years of experience implementing MLOps (MLflow, CI/CD, model monitoring, data drift checks)
• Experience mentoring or leading teams of data scientists or analysts for 2+ years
• Proven track record of delivering at least 3-5 high‑impact ML/AI solutions in production environments.
• Demonstrated ability to work with cross‑functional stakeholders and present complex findings to non‑technical audiences.
• Proven solid data storytelling abilities, demonstrated through executive‑level presentations, dashboards, and narrative-driven insights that influenced key decisions

Preferred Qualification:

• Hands on experience in GEN AI

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.