Senior Associate, Data Scientist | New York City, New York, United States | New York Life Insurance Company

Position:	Senior Associate, Data Scientist
Institution:	New York Life Insurance Company
Location:	New York City, New York, United States
Duties:	As part of the company's Center for Data Science and Artificial Intelligence (CDSAi) corporate analytics group, applies analytical skills to work on all aspects of the life insurance value chain, ranging from risk models, fraud detection, customer behavior study, process triaging, and marketing prediction to a variety of other analytics solutions. Applies technical data, analytical, and programming skills to ingest, wrangle, and explore external and internal data to create data assets and reports. Functions as the data expert and prepares data for modeling, supports production deployment of models, and builds world-class machine-learning models to solve tangible business problems. Contributes to data analysis and modeling projects from project and sample design, business review meetings with internal and external clients to determine requirements and deliverables, and the receipt and processing of data
Requirements:	Bachelor's degree in Statistics, Analytics, Computer Science, Mathematics or Machine-Learning (willing to accept foreign education equivalent) and five (5) years of experience performing data analytics and statistical modeling using complex large-sized datasets in the consumer finance domain

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Modify Cookie Preferences Accept All Cookies Press Tab to Move to Skip to Content Link Skip to main content Explore New York Life Our People Our Diversity Our Strength Our Products Professional tracks Featured opportunities Actuarial Administrative Apogem Capital Campus and early career Clinical positions/Medical management Customer service Dallas careers Data analytics Finance and accounting Human Resources Insurance Investments Legal, compliance, and risk Marketing and communications Sales and distribution support Technology Underwriting View all available opportunities Hear about our open roles Search jobs by keyword or location Explore New York Life Our People Our Diversity Our Strength Our Products Professional tracks Featured opportunities Actuarial Administrative Apogem Capital Campus and early career Clinical positions/Medical management Customer service Dallas careers Data analytics Finance and accounting Human Resources Insurance Investments Legal, compliance, and risk Marketing and communications Sales and distribution support Technology Underwriting View all available opportunities Hear about our open roles View Profile Search jobs by keyword or location × Select how often (in days) to receive an alert: Create Alert × Select how often (in days) to receive an alert: Senior Associate, Data Scientist APPLY NOW » Date: Jul 12, 2023 Location: Remote, NY, US Company: New York Life Insurance Co Job Requisition ID: 89245 Location Designation: Employer : New York Life Insurance Company Job Title : Senior Associate, Data Scientist Location : This position reports to the NY Life Headquarters in New York, NY but applicants may work from a Home Office from anywhere in the United States Offered Wage : $178,200.10/year Duties : As part of the company's Center for Data Science and Artificial Intelligence (CDSAi) corporate analytics group, applies analytical skills to work on all aspects of the life insurance value chain, ranging from risk models, fraud detection, customer behavior study, process triaging, and marketing prediction to a variety of other analytics solutions. Applies technical data, analytical, and programming skills to ingest, wrangle, and explore external and internal data to create data assets and reports. Functions as the data expert and prepares data for modeling, supports production deployment of models, and builds world-class machine-learning models to solve tangible business problems. Contributes to data analysis and modeling projects from project and sample design, business review meetings with internal and external clients to determine requirements and deliverables, and the receipt and processing of data. Performs analyses and modeling for final reports and presentations, communicates results, implements support, and demonstrates to internal and external stakeholders how analytics can be implemented to maximize business benefits. Provides technical support, including strategic consulting, needs assessments, project scoping, and preparing and presenting analytical proposals. Leverages advanced statistical and machine-learning techniques to create high-performing predictive models and creative analyses to address business objectives and client needs. Tests new statistical and machine-learning analysis methods, software, and data sources for continual improvement of quantitative solutions. Implements analytical models into production by collaborating with internal Technology and Operation teams. Education & Experience Requirements: Master's degree in Statistics, Analytics, Computer Science, Mathematics or Machine-Learning (willing to accept foreign education equivalent) and three (3) years of experience performing data analytics and statistical modeling using complex large-sized datasets in the consumer finance domain. Or, in the alternative: Bachelor's degree in Statistics, Analytics, Computer Science, Mathematics or Machine-Learning (willing to accept foreign education equivalent) and five (5) years of experience performing data analytics and statistical modeling using complex large-sized datasets in the consumer finance domain. Required Skills: Experience must include 2 years of experience in each of the following skills: (1) Programming applications using Python, R, SQL, and SAS to extract and transform data from multiple data sources; (2) Performing data wrangling and matching leveraging Extract Load Transfer (ETL) techniques; (3) Performing parallel computing, distributed computing, and distributed data processing leveraging large-scale data on Hadoop and Spark system; (4) Performing feature engineering and selection (transformation, binning, and high-level categorical reduction); model optimization (grid search and Bayesian optimization); and, model testing and validation (cross validation and bootstrapping); and, (5) Developing and deploying supervised and unsupervised machine-learning models leveraging Random Forest, XGBoost, and GBM tree models, deep learning, and k-means; and performing regularization leveraging Ridge, Lasso, and elastic nets. Eligible for Employee Referral Program Overtime eligible: Exempt Discretionary bonus eligible: No 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. Job Segment: Computer Science, Testing, Consulting, Database, Developer, Technology APPLY NOW » Find similar jobs: Insurance Jobs, Data analytics, All Jobs Terms of use Privacy Policy California Employment Privacy Notice Disability Accommodations New York Life is an Equal Opportunity Employer - M/F/Veteran/Disability/Sexual Orientation/Gender Identity Cookie Preference Center/Do Not Sell or Share My Personal Information © 2019 New York Life Insurance Company, New York, NY. 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