Senior Software Engineer
About The Position
The posting title is Senior Software Engineer, while the position summary describes a Senior Data Scientist role within Optum Technology. The role focuses on transforming healthcare through advanced analytics and data-driven solutions. The employee designs, develops, and deploys predictive models and machine learning algorithms to address complex business challenges, uncover actionable insights, and improve healthcare outcomes. The role works with cross-functional technology and business teams to turn strategic goals into scalable analytical capabilities using modern cloud platforms and data science tools. The position may be performed by telecommuting from anywhere within the U.S., subject to UnitedHealth Group’s Telecommuter Policy.
Requirements
- At least 5 years of professional experience in data science, predictive modeling, or machine learning.
- At least 3 years of programming experience using Python or R for statistical analysis and machine learning.
- At least 3 years of experience writing complex SQL queries and extracting data from relational or distributed databases.
- At least 2 years of experience developing and deploying machine learning models into production environments.
- At least 2 years of experience using machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost.
- At least 1 year of experience communicating analytical findings and technical concepts to business stakeholders.
- Pass a drug test before beginning employment.
Nice To Haves
- Master’s or Ph.D. degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline.
- Experience with cloud-based data science and machine learning platforms such as AWS, Azure, or Google Cloud Platform.
- Experience with distributed computing and big data tools such as Spark, Databricks, or Hadoop.
- Experience with Natural Language Processing (NLP), deep learning, or large language models (LLMs).
- Experience in healthcare, health insurance, or life sciences.
- Experience with MLOps methodologies, containerization such as Docker, and model monitoring pipelines.
Responsibilities
- Design, build, test, and deploy predictive models, machine learning algorithms, and advanced statistical analyses for complex healthcare and business problems.
- Query, clean, and analyze large volumes of complex structured and unstructured data across enterprise data repositories.
- Collaborate with product, engineering, and business stakeholders to translate business requirements into scalable, production-ready data science solutions.
- Review the work of other data scientists and analysts, providing technical feedback, code reviews, and mentorship.
- Develop analytical approaches and establish best practices for data science workflows, model validation, and governance.
- Anticipate business and stakeholder needs and proactively identify high-impact opportunities for advanced analytics.
- Design validation, performance tracking, and monitoring frameworks to evaluate model accuracy, fairness, and reliability in production.
- Synthesize and present complex analytical findings and model results to technical and non-technical audiences.
Benefits
- Comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs, subject to eligibility requirements.
- Equity stock purchase, subject to eligibility requirements.
- 401(k) contribution, subject to eligibility requirements.
- Career development opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
