Leading R&D initiatives for AI at VO2 Group, a tech consulting leader in France. Driving scientific research and managing technical teams for innovative AI solutions.
About the role
- AI Scientist II utilizing generative AI and machine learning to develop healthcare solutions. Collaborating with cross-functional teams to implement data-driven models for complex business challenges.
Responsibilities
- 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.
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