[Remote] Principal AI Scientist

Note: The job is a remote job and is open to candidates in USA. Claritev is a dynamic team of innovative professionals striving to bend the cost curve in healthcare for all. The Principal AI Scientist will develop and implement new machine learning methodologies, support various teams with predictive insights, and research new AI technologies to enhance product development. Responsibilities • Coordinate the research, design, building, and maintaining of predictive models in production environment. • Partner with stakeholders throughout the organization to identify opportunities to leverage company data and drive business solutions. Directly communicate with clients for feedback and implementation of products. • Enthusiastically research and experiment with new Artificial Intelligence (AI) technologies and models and discover opportunities for new AI features, influencing current and future product developments. • Research, develop and implement new machine learning and optimization methodologies as needed for specific models or analyses. • Develop and build cutting-edge analytic systems, predictive and prescriptive models to elevate customer experience, and track impact over time. • Write high-quality, reusable and production-ready code. Interpret and analyze data problems. • Coordinate with Product Management, Engineering and DevOps colleagues in the implementation of models. • Develop processes and tools to monitor and analyze model performance and data quality and accuracy. • Collaborate, coordinate, and communicate across disciplines and departments. Coordinate and onboard new team members. • Ensure compliance with HIPAA regulations and requirements. • Demonstrate Company's Core Competencies and values held within. Skills • Must have 7+ years in applying Machine Learning and Predictive Modeling to maximize outcomes or identify best approaches. • Must have deep expertise with Generative AI and Agentic AI. • Healthcare/health services sector experience preferred. • Extended work experience in software development and collaboration across teams. • Possess a passion for developing method to discover solutions using large data sets and working with stakeholders to improve business outcomes. • Possess a drive to learn and master new technologies and techniques. • Advanced proficiency in Python & PyTorch to manipulate large dataset, train or evaluate AI/ML models. • Experience designing, conducting, analyzing, and interpreting experiments and investigations. • Problem solving, critical thinking, creativity, organizational, design, interpersonal, communication (written, verbal and listening) skills. • Fluent in English (both verbal and written). • Ability to work with a wide range of stakeholders, functional teams and all levels of engineers. • Confirmed ability to handle multiple projects with strict deadlines. • Advanced degree (Ph.D. or M.S. with at least three year of relevant research experience) in Statistics, Applied Mathematics or Data Science, Computer Science, or a related field. Benefits • Medical, dental and vision coverage with low deductible & copay • Life insurance • Short and long-term disability • Paid Parental Leave • 401(k) + match • Employee Stock Purchase Plan • Generous Paid Time Off - accrued based on years of service • 10 paid company holidays • Tuition reimbursement • Flexible Spending Account • Employee Assistance Program • Sick time benefits - for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year, unless the laws of the state in which the employee is located provide for more generous sick time benefits. Company Overview • Claritev is an independent and public healthcare technology, data and insights company making healthcare more transparent, fair and affordable for all. It was founded in 1980, and is headquartered in Mclean, Virginia, USA, with a workforce of 1001-5000 employees. Its website is https://www.claritev.com/. Company H1B Sponsorship • Claritev has a track record of offering H1B sponsorships, with 24 in 2025, 53 in 2024, 40 in 2023, 42 in 2022, 38 in 2021, 29 in 2020. Please note that this does not guarantee sponsorship for this specific role.