MetLife is seeking an experienced leader of Data Science for the Dental and Vision product within its Group Benefits business to contribute to advanced analytics and data science solutions within their dental business, aiming to become the dominant dental insurer in the country.
Requirements
- Overall, 3 years of experience in data science or relevant industry.
- Substantial programming experience with Python, SPARK, SQL, and/or Hadoop.
- Strong expertise in statistical modeling techniques. This can include linear regression, logistic regression, survival analysis, GLM, tree models (Random Forests and XGBoost as examples) and cluster analysis.
- Recent Exposure to NLP with text data wrangling and Gen AI (examples include RAG and Agentic Agents).
- Experience with data visualization.
- Exposure or experience working with teams who deploy models in production.
- Exposure working in an Azure or AWS cloud environment for building and deploying models.
Responsibilities
- Date science in Dental: Contributions to underwriting models, claims auto-adjudication logic and models, fraud waste and abuse analyses and models (mostly provider-related), dental network analyses, consumer analytics, network expansion analytics and much more.
- Leads and contributes to data analysis and modeling projects from project/sample design, business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and implementation support.
- Utilizes advanced statistical techniques to create high-performing predictive models and creative analyses to address business objectives and client needs.
- Tests new statistical analysis methods, software and data sources for continual improvement of quantitative solutions.
- Utilizes data wrangling/data matching/ETL techniques while programming in several languages to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets.
- Deploys analytical solutions in production systems.
- Develop and maintain scalable data pipelines and tools to support ongoing analysis and reporting needs.
Other
- Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is essential since you will have a lot of exposure to different internal groups.
- Demonstrates to internal and external stakeholders how analytics can be implemented to maximize business benefits.
- Provides technical support, which includes strategic consulting, needs assessments, project scoping and the preparation/presentation of analytical proposals.
- Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with clients and account teams on project/test results, opportunities, questions.
- We are currently on a hybrid schedule with 3 days per week in the office.
