The Role
Lead design, development, and deployment of scalable AI/ML solutions across the full ML lifecycle—data preparation, feature engineering, modeling, deployment, monitoring, and drift detection. Build production-grade pipelines, cloud-native infrastructure (Azure/GCP), orchestration and experiment tracking, collaborate cross-functionally, and mentor data scientists and ML engineers while applying Responsible AI and observability best practices.
Summary Generated by Built In
Requisition Number: 2369569
Primary Responsibilities:
Scientist Responsibilities ::
Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle.
Required Qualifications:
Preferred Qualification:
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.
#NJP #Niche
Primary Responsibilities:
- Lead the design, development, and implementation of scalable AI/ML solutions, leveraging Python, SQL, pandas, numpy, and modern ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
- Oversee end-to-end ML workflows-from data preparation, feature engineering, EDA, and model development to evaluation, deployment, and continuous monitoring
- Guide model selection, optimization, and tuning, ensuring solutions balance performance, explainability, cost, and Responsible AI principles
- Build and maintain production-grade ML pipelines with orchestration and experiment-tracking tools such as MLflow, Feature Stores, ONNX, and vector databases
- Lead drift analysis, observability, and model health monitoring to ensure ongoing accuracy, reliability, and robustness in production environments
- Design and support scalable, multi-cloud ML infrastructure (Azure/GCP primary, AWS optional), incorporating best practices for compute, storage, networking, and distributed data processing
- Collaborate with data engineering teams to integrate real-time and batch pipelines built on Synapse/BigQuery, Dataflow/Databricks, and Kafka/EventHub/PubSub
- Work closely with engineering, product, data science, and UX to translate business requirements into actionable technical solutions and architecture patterns
- Review and guide the creation of architecture diagrams, C4 models, ADRs, and technical specifications as part of engineering governance
- Mentor and coach data scientists and ML engineers on best practices in model development, experimentation, coding standards, optimization, and cloud-native ML deployment
- 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
Scientist Responsibilities ::
Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the model development lifecycle.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
- 6+ years of experience in Data Science, AI/ML, or a similar role.
- Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis
- Hands-on experience in delivering production-grade AI/ML projects
- Solid understanding of mathematical and statistical concepts
- Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch
- Proven solid programming skills in Python, with experience in pandas, numpy, and SQL
- Proven excellent problem-solving and analytical thinking skills
- Proven solid communication and collaboration skills to work effectively in a team environment
Preferred Qualification:
- Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.)
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.
#NJP #Niche
Skills Required
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
- 6+ years of experience in Data Science, AI/ML, or a similar role
- Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis
- Hands-on experience in delivering production-grade AI/ML projects
- Solid understanding of mathematical and statistical concepts
- Proficiency in frameworks such as Scikit-Learn, TensorFlow, and PyTorch
- Proven solid programming skills in Python, with experience in pandas, numpy, and SQL
- Proven excellent problem-solving and analytical thinking skills
- Proven solid communication and collaboration skills to work effectively in a team environment
- Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.)
Optum Compensation & Benefits Highlights
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Leave & Time Off Breadth — PTO accrues each pay period with eight paid U.S. holidays plus a floating holiday, and generous time away is consistently emphasized. This breadth supports planned and unplanned time off beyond standard vacation days.
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Parental & Family Support — Six weeks of paid parental leave, up to two weeks of paid caregiver leave, Bright Horizons back‑up care, and adoption assistance signal strong family-oriented support. EAP access with counseling sessions further extends help to employees and their households.
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Wellbeing & Lifestyle Benefits — Company‑paid short‑ and long‑term disability, Calm app membership, tuition reimbursement, commuter and FSA accounts, and broad employee discounts expand everyday wellbeing resources. Free or low‑cost virtual visits complement these lifestyle supports.
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The Company
What We Do
Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
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Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.
Typical time on-site:
Not Specified
