Principal Applied Scientist

At Claritev , our mission is to simplify healthcare workflows, improve transparency, and bend the healthcare cost curve . We believe that data, technology, and AI can fundamentally transform how healthcare operates by automating complex workflows, improving decision-making, and reducing unnecessary costs across the system. By combining deep healthcare expertise with advanced analytics and AI, we help payers, providers, and employers operate more efficiently and deliver better outcomes for the people they serve. We are bold in our thinking, rigorous in execution, and committed to service excellence for every stakeholder. Our culture values innovation, accountability, diversity of thought, and collaboration. Join us as we accelerate our transformation into a leading technology and AI-driven company shaping the future of healthcare. JOB SUMMARY: The Principal A pplied Scientist for Finance will lead the development of advanced analytics, statistica l and machine learning models to support Claritev’s corporate finance, forecasting, and risk-intelligence capabilities. This leader will own end-to-end machine learning initiatives—from problem definition through deployment—focused on financial forecasting, anomaly detection, risk modeling, model governance, and insight generation using large datasets within highly regulated environments. This role requires deep technical expertise and the executive presence to engage directly with C-suite stakeholders, shaping the AI strategy for the finance organization and influencing high-impact financial decisions. The Principal AI Research Scientist will also mentor team members, partner across Finance, Sales, Product, Engineering, and Business Operations, and contribute to the creation of scalable, production-ready data and AI solutions. JOB ROLES AND RESPONSIBILITIES: Lead the research, design, development, and maintenance of advanced statistical and machine learning models , including forecasting, risk scoring, anomaly detection, optimization, and financial trend modeling on huge amounts of healthcare data. Partner closely with Finance, Sales, Product, Engineering, and Business O peration s leaders to identify opportunities to leverage company data for financial insights, revenue growth , cost reduction, efficiency optimization, and risk mitigation. Demonstrate strong executive presence by communicating complex AI/ML concepts clearly and persuasively to C-suite and senior leadership. Research, prototype, and evaluate new AI/ML methodologies , particularly in traditional ML, predictive modeling, and anomaly detection , to solve complex financial and operational problems that have direct top-line and bottom-line financial impact . Write high-quality, production-ready code to enable scalable data and ML solutions that drive financial transparency, improve forecasting accuracy, and identify key cost/value levers. Partner with AI Engineering, Enterprise Data, FinTech, DevOps, Infrastructure, and Cloud teams to support deployment pipelines, model integration, and monitoring frameworks. Develop processes and tools for model performance tracking, drift detection, model risk management, and financial data quality assurance . Serve as a cross-functional leader who collaborates, coordinates, and communicates effectively across disciplines; support onboarding and mentorship for new team members. Ensure compliance with HIPAA and other regulatory frameworks relevant to financial and operational data in healthcare . Champion Claritev's core values and competencies. Please note due to the exposure of PHI sensitive data -- this role is considered to be a High Risk and Privileged Role. JOB REQUIREMENTS Ph.D. or M.S. in Computer Science, Statistics, Applied Mathematics, Data Science, Financial Engineering , or related STEM fields . 8+ years of industry experience in applied machine learning , advanced analytics, and predictive modeling with a demonstrated ability to deliver ML solutions from prototype to production, ideally in finance, healthcare, or other regulated sectors. Proven experience in financial forecasting, risk modeling, anomaly detection, large-scale data analysis, and insight generation. Experience working within model risk management, compliance frameworks, or regulated data environments. Strong proficiency in Python and ML/deep learning frameworks (e.g., PyTorch , TensorFlow). Experience with big-data technologies and scalable model deployment in the cloud environment . Experience with Generative AI or agent frameworks (e.g., LangChain , LangGraph , Autogen ) is a nice to have, but the primary focus is predictive ML. Experience designing or implementing model evaluation pipelines, including accuracy, reliability, explainability, and latency metrics. Strong foundation in ML theory, statistics, time-series modeling, and anomaly detection . Domain knowledge in corporate finance and healthcare is strongly preferred. A product-oriented mindset with the ability to align scientific rigor to business impact. Exceptional communication, stakeholder management, and cross-functional collaboration skills; ability to influence senior and executive level stakeholders . COMPENSATION The salary range for this position is $190K to $210 K. Specific compensation offers are determined based on a variety of factors including the candidate’s education, experience, skills, work location, and internal equity considerations In addition to base salary, this position is eligible for an annual performance bonus and a comprehensive benefits package, including health insurance and a 401(k) retirement plan. BENEFITS We realize that our employees are instrumental in our success, and we reward them accordingly with very competitive compensation and benefits packages, an incentive bonus program, as well as recognition and awards programs.  Our work environment is friendly and supportive, and we offer flexible schedules whenever possible, as well as a wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities. Your benefits will include: 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 WA Candidates: the accrual rate is 4.61 hours every other week for the first two years of tenure before increasing with additional 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. EEO STATEMENT Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations.  Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status.  If you would like more information on your EEO rights under the law, please click here . APPLICATION DEADLINE We will generally accept applications for at least 5 calendar days from the posting date or as long as the job remains posted. #LI – VG1