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 60-person innovative corporate Analytics group within New York Life, led by Chief Analytics Officer Glenn Hofmann (https://www.linkedin.com/in/glennhofmann/). 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).
In the 6 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.
We are currently expanding our team of data scientist who work on Service/Marketing data science products. The role reports to Jungho Yeom (https://www.linkedin.com/in/jungho-kevin-yeom-76b7b973/). A good understanding of predictive analytics (including the process of building and deploying models) and technology is essential.
Examples of Service and Marketing Data Science products that have built and are currently working on are below.
- Fraud Detection model
- Cross-Sell model
- Marketing Lead Optimization
Responsibilities
- 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 techniques to create high-performing predictive models using R or Python, 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.
- 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.
- Resolves problems and removes obstacles to timely and high-quality project completion. Create project milestone plans to ensure projects are completed on time and within budget. Provides high quality ongoing customer support, answering questions, resolving problems and building solutions.
- Validate ongoing data science projects, including coding scripts and summary results for data manipulation/cleaning and modeling. Challenge existing method adopted in the project with alternatives. Provide feedback to improve the deliverables.
- Teach and explain basic data science concepts and tools to general internal audience.
- Follows industry trends in insurance and related data/analytics processes and businesses.
- Functions as the analytics expert in meetings with other internal areas and external vendors. Actively participates in proof-of-concept tests of new data, software and technologies. Shares knowledge within Analytics group.
- Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects.
- Travels to events and vendor meetings as needed (<10%)
Required qualifications.
- Master’s degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, or machine learning and 1-2 years of relevant industry experience OR Ph.D. with concentration in similar fields OR Associateship/Fellowship in one of the Actuarial Societies and 3 years of relevant industry experience
- Hands-on experience in coding and predictive modeling using large and complex datasets in a business setting.
- Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills.
- Substantial programming experience with Python, R, SQL, and/or SPARK. Experience with data wrangling, data matching, and working with GitHub.
- Strong expertise in statistical modeling and machine learning techniques such as linear regression, logistic regression and other Generalize Linear Models (GLMs), survival analysis, tree models (Random Forest, GBM, XGBoost), cluster analysis, principal components. Strong expertise in regularization techniques (Ridge, Lasso, elastic nets), variable selection techniques, feature creation (transformation, binning, high level categorical reduction, etc.) and validation (hold-outs, CV, bootstrap). Experience with data visualization (e.g., R Shiny, Tableau).
- Deep statistical knowledge is a plus.
- Experience with insurance or consumer financial data is a plus.
Location
- New York City (NoMaD, walking distance from Penn Station and Grand Central Station).
- Hybrid 3/2 (WAH – Mon/Fri; In-office Tue/Wed/Thu)
Salary range: $85,000-$125,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Click here to learn more about our benefits. Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We’re proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses “Be Good At Life.” To learn more, please visit LinkedIn, our Newsroom and the Careers page of www.NewYorkLife.com.
Job Requisition ID: 89432