Work in conjunction with our business development and product teams to develop and implement commercially viable model-based solutions to the healthcare, insurance, life sciences and adjacent markets.
Provide organizational data science subject matter expertise and thought leadership.
Plays an active role within the team to advise and influence senior management on the data science vision and strategy.
Drives innovation, advises on strategic plans, influences high-level stakeholders, and delivers strategic results for the organization.
Research, develop, deploy, and maintain traditional AI/ML models following industry best practices.
Work extensively with available GenAI models; construct exciting solutions to internal and external use cases across markets and enhance our internal capabilities through centralized internal tooling and thought leadership.
Coordinate with Product, Business Development, ML Engineering, and IT to bring new and exciting data science products to market, as well as support existing industry leading products.
Help drive best practices and continuous improvement on the data science team; influencing model design and experimentation strategy through planning, audit, peer review, and other coaching.
Requirements
15+ years of professional experience using AI/ML to create high return on investment commercial data science solutions
Expert data scientist with demonstrable capability across the full ML lifecycle, from problem framing and feature engineering to model development, validation, and deployment
Supervised Learning: Classification and regression using tree-based models, ensemble methods, and gradient boosting frameworks
Unsupervised Learning: Clustering, dimensionality reduction, and anomaly detection
Model Validation: Cross-validation, hyperparameter optimization, and experimental design including A/B testing
Deep Learning: Modern neural network architectures including transformers and transfer learning
NLP: End-to-end NLP pipelines spanning text processing, representation learning, and language understanding
Expert understanding of Generative AI; able to effectively use, fine-tune, and evaluate commercially available models as well as deploy and integrate local LLMs into the data science process
Expert level Python programmer, with some experience in R and/or SQL
Expert user of Databricks or similar cloud-based model development ecosystem including mlflow, experimentation organization, data catalogs, and compute cluster configuration
Sufficient understanding of software engineering best practices such as Git for version control, unit testing, local development, and environment management
Knowledge of ML Engineering and ML Ops related concepts and tools including CICD pipelines, GitHub Actions, Docker, AWS Lambda, and Linux
Degree in a relevant field (computer science, data science, statistics, mathematics, applied math, actuarial science, economics, etc.)
Tech Stack
AWS
Cloud
Docker
Linux
Python
SQL
Benefits
Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners.
Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges.
401(k) Plan – Includes a company matching program and profit-sharing contributions.
Discretionary Bonus Program – Recognizing employee contributions.
Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses.
Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis.
Holidays – A minimum of 10 paid holidays per year.
Family Building Benefits – Includes adoption and fertility assistance.
Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria.
Life Insurance & AD&D – 100% of premiums covered by Milliman.
Short-Term and Long-Term Disability – Fully paid by Milliman.