A global leader in health services innovation, connecting the brightest minds in data, technology, and healthcare to transform care delivery. They drive changes in the healthcare ecosystem by applying advanced analytics, machine learning, and artificial intelligence to improve patient outcomes, reduce costs, and enhance operational efficiency.

Position Overview:

They are seeking a highly skilled and motivated Lead AI/ML Scientist to join their dynamic and innovative team. In this role, you will be responsible for leading the design, development, and deployment of cutting-edge artificial intelligence and machine learning models that address critical healthcare challenges. This is a leadership position, where you'll have the opportunity to work on impactful projects, guide junior scientists, and collaborate with cross-functional teams to drive the development of AI/ML solutions in a large-scale healthcare setting.

Key Responsibilities:

• Lead the end-to-end development of AI/ML models, from conceptualization to deployment, to solve complex healthcare problems.
• Collaborate with data scientists, engineers, clinicians, and business stakeholders to translate healthcare needs into AI/ML-driven solutions.
• Apply advanced machine learning techniques (e.g., deep learning, natural language processing, reinforcement learning) to large datasets to drive insights and decision-making.
• Ensure scalability, performance, and robustness of AI models by working closely with data engineering and software development teams.
• Stay up-to-date with the latest AI/ML research and industry trends, incorporating new techniques and methodologies to enhance Optum’s AI capabilities.
• Mentor and lead a team of data scientists and machine learning engineers, fostering a culture of innovation and collaboration.
• Communicate complex technical ideas and results to non-technical stakeholders, ensuring clarity and alignment with business goals.

Required Qualifications:

• Master’s degree in computer science or related quantitative field and 5+ years of industry/academic experience in machine learning or a related field OR PhD in computer science or related quantitative field
• Proven expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) and experience with large-scale data processing frameworks (e.g., Spark, Hadoop).
• Proficiency in programming languages
• Hands-on experience with healthcare datasets and understanding of healthcare industry challenges is highly preferred.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.

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