AI Scientists work with various stakeholders to design, develop, and implement data-driven solutions.
This position applies expertise in advanced analytical tools such as generative AI, machine learning, deep learning, optimization, and statistical modeling to solve business problems in the healthcare payer domain.
AI Scientists work may focus on a particular area of the business such as clinical care delivery, customer experience, or payment integrity, or they may work across several areas spanning the organization.
AI Scientists work closely with AI team members in the Product and Engineering tracks to collaboratively develop and deliver models and data-driven products.
AI Scientists also collaborate and communicate with business partners to design and develop data-driven solutions to business problems and interpret and communicate results to technical and non-technical audiences – all in service of making our members’ health journeys easier.

Requirements

The AI Scientist II would have a degree (master’s or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics
4 years of related work experience
Demonstrated knowledge of generative AI, machine learning and data science.
Ability to use well-understood techniques and existing patterns to build, analyze, deploy, and maintain models.
Effective in time and task management.
Able to develop productive working relationships with colleagues and business partners.
Strong interest in the healthcare industry.
Ability to code effectively in and create novel features and datasets using SQL or SQL-like languages.
Ability to write clean, well-commented, efficient Python code.
Strong understanding of techniques for working with noisy, high-dimensional, sparse, and/or imbalanced data.
Demonstrates in-depth familiarity with at least one domain of data (e.g, claims data).
Demonstrates depth of understanding in at least one major AI modeling technique or approach.
Ability to develop new AI pipelines for both offline testing and online serving of models.
Demonstrated track record of delivery of AI and machine learning models to solve well-defined business problems.
Has working knowledge of department processes, procedures, and infrastructure.
Able to identify common pitfalls in developing AI and ML models (e.g, data leakage across features or partitions).
Ability to translate business requirements into data science and AI discovery plans and modeling objectives.
Ability to articulate the high-level business objectives of their work.

Benefits

Medical, dental and vision coverage for employees and their eligible family members, including mental health benefits.
Annual employer contribution to a health savings account.
Generous paid time off varying by role and tenure in addition to 10 company-paid holidays.
Market-leading retirement plan including a company match on employee 401(k) contributions, with a potential discretionary contribution based on company performance (no vesting period).
Up to 12 weeks of paid parental time off (eligibility requires 12 months of continuous service with Cambia immediately preceding leave).
Award-winning wellness programs that reward you for participation.
Employee Assistance Fund for those in need.
Commute and parking benefits.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

generative AImachine learningdeep learningstatistical modelingSQLPythondata scienceAI modeling techniquesAI pipelinesdata analysis

Soft Skills

time managementtask managementrelationship buildingcommunicationcollaborationproblem-solvinginterpretation of resultsarticulation of business objectiveseffective communication with technical audienceseffective communication with non-technical audiences

Certifications

master’s degreePhD