GenAI Lead Data Scientist, Corporate Vice President

Location Designation: Hybrid 

 

 

When you join New York Life, you’re joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You’ll have the opportunity to grow your career while developing personally and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture.

 

 

The Center for Data Science and Artificial Intelligence (CDSAi) is the 70-person innovative corporate Analytics group within New York Life. We are a rapidly growing entrepreneurial department which designs, creates, and offers innovative data-driven solutions for many parts of the enterprise. For more information on CDSAi, please visit our website (https://www.newyorklife.com/careers/corporate/data-science). We have the freedom to explore external data sources and new statistical techniques and are excited about delivering a whole new generation of predictive analytics and artificial intelligence solutions.

 

In the 7 years of the existence of CDSAi we have built a lot of predictive modeling solutions that are being used by various areas in the company. We have also stood up a modern model deployment platform that allows our models to be accessed in real time or batch (via APIs) from any production system in the company.

 

In addition to several data science teams, CDSAi has a dedicated ML Ops team (for all infrastructure, data and model deployments), our own project management office, a model governance team, a development team (training, internships, media, events, other internal and external branding) and data science product managers.

 

This role will support our newly formed generative AI practice and report to the director of data science for generative AI. The person in the role is expected to have prior experience with creating generative AI solutions for practical business use cases. NYL’s CEO has expressed that he wants the company to be a leader in generative AI in our industry. Hence, this role has the opportunity to help build out that vision. Since not every data science project may require generative AI, expert-level familiarity with regular statistical predictive modeling methodologies and practice is also essential.

 

Responsibilities

• Supports and helps build a generative AI practice within CDSAi. This includes supporting use case development and associated stakeholder management in various business areas. It also means influencing infrastructure and tooling (in collaboration with ML Ops and IT), education of stakeholders and community, and governance (in collaboration with model governance team and Legal).
• Managing various stakeholders at the same level during solution design and project execution to successfully create solutions and deploy them into full production.
• Independently 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.
• 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.
• Utilizes advanced statistical/AI techniques to create high-performing predictive models and other solutions to address business objectives and client needs. Tests new statistical and machine learning methods, software and data sources for continual improvement of quantitative solutions.
• Implements analytical models into production by collaborating with technology and ML Ops teams. Utilizes data visualization tools for model testing, modeling results and data patterns exhibition. Design performance metrics for model selection and performance monitoring.
• 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 solution in production systems.
• Works closely with the business areas, IT, Legal, Government relations and several other groups in designing, building, and implementing these solutions.
• Evangelizes the use of data-based decision making and Analytics within New York Life.
• Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification,