Sr. AI & Data Scientist

5-8 years delivering production-grade data science or ML solutions with demonstrated business impact

Proven track record architecting complex ML systems from research to production deployment

Deep expertise in multiple ML domains and strong software engineering fundamentals

Experience leading technical projects and mentoring data scientists

Healthcare domain expertise, particularly Medicare Advantage, risk adjustment, or claims analytics

Experience with production document understanding systems (OCR, NER, entity extraction, LLM pipelines)

Published research, open-source contributions, or patents in ML/AI

Track record of translating research innovations into production systems

Required: PhD in Computer Science, Machine Learning, Statistics, or related field

Required: Continuous learning in ML/AI advancements, healthcare analytics, and software engineering practices

Preferred: Training or certification in MLOps, cloud platforms (Azure, AWS, GCP), or healthcare regulations (HIPAA, CMS)

Expert-level proficiency in Data Science methods, workflows, and best practices

Advanced Machine Learning including ensemble methods, deep learning, NLP, LLMs, and computer vision

Strong Statistical Analysis and experimental design capabilities

Expert programming: Python, Java, SQL, or PySpark with an emphasis on production-grade, maintainable code.

Advanced SQL and experience with high-volume, high-dimensional healthcare data

Proficiency with Databricks (Spark, Delta Lake), MLflow, Unity Catalog, and cloud platforms

Experience with Git workflows, CI/CD pipelines, Docker, and modern MLOps practices

Deep understanding of healthcare data (claims, clinical, member) and Medicare Advantage operations

Exceptional communication skills: ability to translate technical complexity into business value for diverse stakeholders

Strong data visualization and storytelling capabilities with proven ability to influence technical decisions

Experience with NoSQL databases, performance optimization, and distributed computing

Real-time ML inference and streaming architectures

Contributions to internal ML platforms, frameworks, or open-source projects

Experience presenting at technical conferences or publishing research

Required: None Preferred: Industry certifications in ML, cloud platforms, or healthcare analytics

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.

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. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.

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] .