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.

We are looking for an AI/ML Specialist with expertise in clustering algorithms, dimension reduction algorithms, and anomaly detection techniques on large datasets. The ideal candidate will be well-versed in unsupervised learning techniques and have solid proficiency in Python and various ML modules such as PyTorch, TensorFlow, or Scikit-learn. Additionally, the candidate should have extensive knowledge of Snowflake, Databricks, and Azure services like Azure ML and AKS. Knowledge of healthcare and FHIR standards.

Primary Responsibilities:

• Develop and implement clustering algorithms to analyze large datasets and detect anomalies
• Apply dimension reduction techniques to enhance data processing and model performance
• Utilize unsupervised learning techniques to uncover patterns and insights from data
• Select, write, train, and test AI/ML models to ensure optimal accuracy and performance
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems
• Utilize Python and ML modules (PyTorch, TensorFlow, Scikit-learn) for model development and deployment
• Leverage Snowflake and Databricks for data warehousing and management
• Utilize Azure services such as Azure ML and AKS for model deployment and management
• Continuously monitor and refine models to improve their effectiveness
• Document processes and results, and present findings to stakeholders
• 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, or a related field
• Proven experience in developing and implementing clustering algorithms, dimension reduction techniques, and anomaly detection
• Experience with Azure services (Azure ML, AKS)
• Knowledge of Snowflake and Databricks
• Proficiency in Python and ML modules (PyTorch, TensorFlow, Scikit-learn)
• Solid understanding of unsupervised learning techniques
• Proven excellent problem-solving skills and attention to detail
• Proven ability to work independently and as part of a team.
• Proven solid communication skills to convey complex technical concepts to non-technical stakeholders

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.