Lead Data Scientist

Cotiviti; United States; Remote; USD 195,000 - 235,000; Full time

Job summary

A leading healthcare analytics firm is seeking a Lead Data Scientist to drive the implementation of advanced analytics and machine learning solutions. This role involves designing and overseeing data pipelines, mentoring team members, and ensuring compliance with healthcare data governance. Ideal candidates have extensive experience in machine learning and statistical modeling, alongside strong leadership skills. A competitive compensation package is offered, reflecting experience and qualifications.

Benefits

Medical, dental, vision insurance

401(k) savings plans

Paid family leave

Paid Time Off (PTO)

Qualifications

• 12+ years of experience with a Bachelor's degree; 8 years with a Master's; or 5 years with a PhD.
• 8+ years in machine learning and predictive analytics with expertise in big data technologies.
• Strong experience with cloud ML platforms.

Responsibilities

• Lead design of AI solutions for healthcare data challenges.
• Develop scalable data pipelines for predictive modeling.
• Provide technical leadership and mentor team members.

Skills

Machine learning

Artificial intelligence

Predictive analytics

Python

Statistical modeling

MLOps

Communication skills

Problem-solving

Education

Bachelor's degree in a relevant field

Master's degree

PhD

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Overview

Cotiviti is seeking an experienced Lead Data Scientist to drive the architectural design and implementation of advanced analytics and machine learning solutions for healthcare claims processing. This role will provide technical leadership in developing predictive analytics systems that enhance operational efficiency and decision-making capabilities across our healthcare analytics platforms.

Responsibilities

• Lead the design and architecture of advanced machine learning and AI solutions for complex healthcare data challenges.
• Develop and implement scalable data pipelines and analytical workflows to support enterprise level predictive modeling initiatives.
• Provide strategic leadership for the design and architecture of advanced machine learning and AI solutions across complex healthcare data environments.
• Develop and oversee enterprise-scale data pipelines and analytical workflows that enable predictive modeling initiatives impacting multiple business units.
• Drive technology strategy and selection, establishing technical roadmaps for AI/ML capabilities with longterm business alignment.
• Drive technology selection and establish technical roadmaps for AI/ML capabilities.
• Design and oversee implementation of feature engineering strategies and model deployment frameworks.
• Mentor and guide team members in machine learning best practices and advanced analytical techniques.
• Collaborate with cross functional teams to translate business requirements into technical solutions.
• Define and implement model evaluation frameworks and performance optimization strategies.
• Lead the development of predictive modeling systems for complex pattern recognition and classification tasks.
• Ensure compliance with healthcare data governance and regulatory requirements.
• Drive innovation in analytical approaches and champion adoption of emerging technologies including generative AI models to assist in development and analysis.
• Increase team output and efficiency through innovation and adoption of assistive AI technologies.
• Provide technical leadership in solving complex data science challenges.
• Complete all responsibilities as outlined in the annual performance review and/or goal setting.
• Complete all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.

Qualifications

• Minimum of 12 years of related experience with a Bachelor's degree; 8 years with a Master's degree; or 5 years with a PhD; or an equivalent combination of education and experience.
• 8+ years of hands-on experience in machine learning, artificial intelligence, and predictive analytics, with proven proficiency in statistical modeling. Deep expertise in distributed computing frameworks and big data technologies.
• Expert level proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Strong experience with cloud-based ML platforms and services.
• Proven track record of deploying production grade machine learning solutions at scale.
• Experience with healthcare claims data and understanding of healthcare industry workflows.
• Demonstrated leadership skills with experience managing and mentoring technical teams.
• Strong understanding of MLOps practices, model lifecycle management, and the additional requirements generative AI brings to MLOps.
• Excellent communication skills with ability to present complex technical concepts to diverse audiences.
• Experience with compliance frameworks and data governance in regulated industries.
• Experience in using assistive AI to improve quality and efficiency of analytics and modeling processes.
• Demonstrated use of agentic AI constructs including retrieval augmented generation (RAG), prompt security and management, and model context protocols (MCP's).

Cognitive / Mental Requirements

• Communicating with others to exchange information.
• Problem-solving and thinking critically.
• Completing tasks independently.
• Interpreting data.
• Making timely decisions in the context of a workflow.
• Maintaining focus.
• Assessing the accuracy, neatness and thoroughness of the work assigned.
• Learning new tasks and completing tasks in situations that have a speed or productivity quota.
• Remembering and adhering to processes and protocols.
• Applying established protocols in a timely manner.

Physical Requirements and Working Conditions

• Remaining in a stationary position, often standing or sitting for prolonged periods.
• Repeating motions that may include the wrists, hands and/or fingers.
• Must be able to provide high-speed internet access / connectivity and office setup and maintenance.
• Must be able to provide a dedicated, secure work area.

Base compensation ranges from $195,000 to $235,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.

Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.

Date of posting: xx/xx/2025

Applications are assessed on a rolling basis. We anticipate that the application window will close on xx/xx/2025, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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