The Role
Develop and deploy predictive and AI-powered models using Python, Spark SQL, Azure, Databricks, and MLflow. Build inference scripts, MLOps and CI/CD pipelines, production-ready architecture, scalable data services, and model monitoring processes. Analyze data, test hypotheses, optimize models, perform cost-benefit analysis, and communicate results to technical and non-technical stakeholders while collaborating with business intelligence teams.
Summary Generated by Built In
Requisition Number: 2356363
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:
Required Qualifications:
Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making.
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.
#GEN
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:
- Drive client value by:
- Developing predictive models using various machine learning algorithms/best practices
- Developing and running scripts for ML model inference
- Testing various hypothesis and presenting back to the technical/non-technical audience
- Performing cost benefit analysis for various DS initiatives
- Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions
- Creating artifacts like STM, HLD, LLD for hardening prototypes into production (prototype to hardening)
- Be able to apply knowledge of data modeling, statistics, machine learning, programming, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to more actionable insights
- Working with analytics and statistical software and products, such as SQL, R, Python, Hadoop and others to perform analysis and interpret data
- Communicate the performance of the machine learning algorithms across an interdisciplinary team
- Create impact at scale by:
- Developing and managing a comprehensive catalog of scalable data services that expand the value of analytical offerings
- Looking for opportunities for continuous improvement/optimization of models in production
- Data Drift
- Champion (Prod Model) Vs Challenger (Enhanced Dev Model)
- Implementing best practices on ML architecture/workflows etc
- Collaborating with business intelligence architects and domain analysts to maximize the effectiveness of business intelligence tools, dashboards, and other dynamic reporting capabilities
- 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 Degree (preferably in information technology, engineering, math, computer science, analytics, engineering or other related field)
- 5+ years of experience in handling/active development in data science projects
- 5+ years of experience in Microsoft Azure Cloud, Databricks, Mlflow, Spark SQL & Python
- Experience using Machine Learning Algorithms: Linear & Logistic Regression, Time Series analysis, Support Vector Machine, K-Means clustering, K-Nearest Neighbors Decision Trees, Random Forest, Naive Bayes, PCA, SVD, Artificial Neural Networks, Association Rules, Genetic Algorithm, Optimization, Bagging and Boosting algorithms etc.
- Understanding for data, schema, data model, machine learning and how to bring efficiency in big data related life cycle
- Proficient with hands-on experience in Python coding, Spark SQL and any other programming language along with corresponding language packages
- Proven skills to create opportunities using machine learning or artificial intelligence
- Proven excellent communication and presentation skills
- Proven solid analytical, problem-solving skills
- Proven cooperative and team player attitude
Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making.
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.
#GEN
Skills Required
- Bachelor's degree in information technology, engineering, mathematics, computer science, analytics, or a related field
- 5+ years of experience handling or actively developing data science projects
- 5+ years of experience with Microsoft Azure Cloud, Databricks, MLflow, Spark SQL, and Python
- Experience with machine learning algorithms including regression, time series analysis, SVM, clustering, decision trees, random forests, naive Bayes, PCA, SVD, neural networks, association rules, genetic algorithms, optimization, bagging, and boosting
- Understanding of data, schemas, data models, machine learning, and big data lifecycle efficiency
- Hands-on Python coding and Spark SQL experience, plus another programming language and associated packages
- Proven ability to create opportunities using machine learning or artificial intelligence
- Excellent communication and presentation skills
- Strong analytical and problem-solving skills
- Cooperative attitude and ability to work as part of a team
Optum Compensation & Benefits Highlights
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Parental & Family Support — Paid parental leave (six weeks), paid caregiver leave (up to two weeks), Bright Horizons back-up care, and adoption assistance up to $10,000 are prominently included. Feedback suggests these family supports meaningfully aid work-life balance and are often highlighted as strengths.
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Retirement Support — A 401(k) with company match is available to all employees, including part-time staff, alongside other financial protections like disability and life insurance. Feedback suggests broad access and matching make retirement support a core pillar of the package.
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Equity Value & Accessibility — An Employee Stock Purchase Plan offers discounted company stock, with some roles also eligible for sign-on or performance bonuses. Feedback suggests the ESPP is a standout financial perk that helps employees build ownership over time.
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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
