Remote Director, Data Science

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. The Remote Director of Data Science enables our enterprise AI strategy and oversees the development of scalable machine learning and artificial intelligence solutions that power next-generation care delivery models for seniors. This role is accountable for creating innovative data science solutions that deliver measurable business impact, differentiate the organization in the market, and accelerate top-line growth. The Director combines deep technical expertise with strategic leadership to embed ML and AI capabilities into product design, business domains and continuously improving our data science fundamentals. And supports the company’s responsible use of AI that emphasizes our core values of Safety, Responsibility, Trust, Transparency, Fairness and Equity, and Empowerment. Job Duties/Responsibilities:

• Model Development
• Develop and deploy scalable machine learning and AI solutions in production environments, ensuring performance and sustainability
• Build and refine models for customer segmentation, risk prediction, clinical decision support, and other healthcare-specific use cases
• Support cross-functional initiatives involving both traditional ML and emerging GenAI use cases
• Statistical Rigor and Validation
• Ensure rigorous use of statistical methods, reproducibility, and documentation across all projects
• Design and implement statistical tests, A/B experiments, and performance monitoring strategies
• Evaluate ML/AI models and products for fairness in output, targeting and actions
• Cross Functional Collaboration
• Partner with stakeholders to define problem statements, identify data sources, and design effective solutions
• Build and maintain robust data pipelines, modeling workflows, and monitoring tools in collaboration with engineering and data platform teams
• Partner with senior and executive leadership to define and advance the enterprise AI roadmap, identifying high-impact opportunities to embed ML and AI services into core business workflows
• Team Development
• Lead multiple high-impact data science projects across areas including Clinical, STARs, Risk Adjustment, Claims, Pharmacy, Marketing and Member Experiences
• Manage and mentor a team of data scientists; provide technical guidance via review of code, models, and analytical approaches; foster professional growth; and drive a culture of experimentation and continuous learning

Supervisory Requirements: Fulfill supervisory responsibilities in accordance with organization policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems. Job Requirements: Experience: Required:

• Minimum 7+ years professional work experience as a data scientist, engineer or developing ML/AI solutions
• 5+ years of deep technical experience analyzing and modeling structured, semi-structured and unstructured data using machine learning / predictive modeling
• Record of delivering ML/AI projects in production environments
• Demonstrated success in hiring great data scientists and growing junior team members through mentoring, collaboration and coaching

Preferred:

• Experience in healthcare or other highly regulated industry
• Experience with embedding approaches, vector databases and RAG

Education: Required:

• Bachelor’s degree in Computer Science, Engineering, Statistics, or a related quantitative field

Preferred:

• Master’s or PhD in Computer Science, Engineering, Statistics, or a related quantitative field

Specialized Skills: Required:

• Up-to-date knowledge of data science related technologies and data engineering best-practices
• Demonstrated proficiency in SQL and relational databases.
• Solid data structures & algorithms background.
• Expert knowledge of analytical platforms and tools used to build and deploy Machine Learning models
• Excellent storytelling skills and the ability to present complex information simply in both small and large group settings to technical/non-technical audiences

Licensure: Required: None Preferred: Essential Physical Functions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. 2. The employee frequently lifts and/or moves up to 5 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Pay Range: $198,219.00 - $297,329.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation.

• DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at https://reportfraud.ftc.gov/#/. If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health’s talent acquisition team, please email [email protected].

Apply tot his job Apply To this Job