Data Scientist, Sr

About The Company
Optum is a leading global organization dedicated to transforming healthcare through innovative technology and comprehensive care solutions. With a mission to help millions of people live healthier lives, Optum leverages advanced data analytics, pharmacy benefits management, and healthcare services to improve health outcomes worldwide. The company fosters a culture of inclusion, talent development, and continuous improvement, offering its employees a dynamic environment with extensive benefits and growth opportunities. As part of UnitedHealth Group, Optum is committed to making a meaningful impact on communities by advancing health optimization on a global scale.

About The Role
The Senior Data Scientist role at Optum Insight is a pivotal position focused on developing and enhancing cutting-edge Natural Language Processing (NLP) technologies tailored for medical applications. This role involves working closely with cross-functional teams including NLP engineers, research linguists, software engineers, and subject matter experts to design, implement, and deploy advanced NLP solutions. The ideal candidate will have a strong background in machine learning, deep learning, and natural language processing, with experience in transforming clinical data into actionable insights. The position offers flexibility to work remotely within the United States, providing an opportunity to tackle complex challenges in healthcare technology and contribute to innovative projects that directly impact patient care and health outcomes.

Qualifications

• Minimum of 3 years of experience with Python, including frameworks such as PyTorch, TensorFlow, and data manipulation libraries like pandas or polars.
• At least 2 years of professional experience utilizing machine learning and deep learning techniques, with a proven track record or academic publications in the field.
• Over 1 year of hands-on experience implementing transformer architectures such as BERT, GPT, or related models.
• Strong communication skills to effectively collaborate with technical and non-technical stakeholders.
• Experience with deploying NLP solutions at scale in production environments.
• Knowledge of AI tools and frameworks that streamline workflows and automate tasks.

Responsibilities

• Enhance and optimize existing NLP technologies to improve accuracy, efficiency, and scalability.
• Extend NLP systems into new cloud-based applications, ensuring seamless integration and deployment.
• Incorporate machine learning and deep learning techniques into clinical NLP solutions to extract meaningful insights from healthcare data.
• Participate in all phases of software development, including requirements gathering, design, implementation, integration, and testing.
• Apply expertise in Information Retrieval, Information Extraction, and other AI methodologies to solve complex healthcare challenges.
• Develop and deploy NLP models at scale, ensuring robustness and performance in production environments.
• Leverage enterprise-approved AI tools to automate workflows, streamline processes, and drive continuous improvement initiatives.
• Collaborate with multidisciplinary teams to translate clinical and technical requirements into innovative NLP solutions.
• Stay updated with the latest advancements in AI and NLP, contributing to research publications and knowledge sharing.

Benefits

• Comprehensive health insurance plans including medical, dental, and vision coverage.
• Retirement savings options such as 401(k) with company contributions.
• Incentive and recognition programs to reward outstanding performance.
• Equity stock purchase opportunities.
• Paid time off and holiday leave to support work-life balance.
• Professional development and training resources to foster career growth.
• Flexible remote working arrangements within the U.S.

Equal Opportunity

UnitedHealth Group is an Equal Employment Opportunity employer. We are committed to creating a diverse and inclusive workplace and do not discriminate based on race, national origin, religion, age, gender, sexual orientation, gender identity, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to these factors. We also maintain a drug-free workplace and require candidates to pass a drug test prior to employment.