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

Position:	Senior Associate, Senior Data Scientist
Institution:	New York Life Insurance Company
Location:	New York City, New York, United States
Duties:	Leads data analysis and modeling projects from project and sample design. Participates in business review meetings with internal and external clients to develop requirements and deliverables. Performs analyses and modeling to final reports and presentations, communicates results, and provides implementation support. Demonstrates to stakeholders how analytics can be implemented to maximize business benefits
Requirements:	Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Physics or Operations Research and 3 years of experience with quantitative analytics using large and complex datasets

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Date: May 23, 2023 Location: New York, NY, US Company: New York Life Insurance Co Job Requisition ID: 89031 Location Designation: Employer : New York Life Insurance Company Job Title : Senior Associate, Senior 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 : $160,000.36/year Duties : Leads data analysis and modeling projects from project and sample design. Participates in business review meetings with internal and external clients to develop requirements and deliverables. Performs analyses and modeling to final reports and presentations, communicates results, and provides implementation support. Demonstrates to stakeholders how analytics can be implemented to maximize business benefits. Provides strategic consulting, assessments, and project scoping and prepares and presents analytical perspective. Drives the use of data-based decision-making and analytics by active internal partnership management, discovering business opportunities, and creating business value by executing high-priority projects. Leverages advanced statistical and machine-learning techniques to create high-performing predictive models and creative analyses to address business objectives and client needs. Leverages scientific approaches (experimental design) to verify the performance of algorithms and predictive models. Works closely with business and technology partners to design, build, and implement Artificial Intelligence (AI) and data science solutions. Communicates with internal stakeholders concerning product design, data specifications, and model implementations. Collaborates with partners concerning ideas and specifics, and with internal clients and stakeholders concerning projects, test results, opportunities, and questions. Resolves problems and removes obstacles to ensure timely and high-quality project completion. Follows industry trends related to insurance and related data and AI processes and businesses. Participates in proof-of-concept tests of new data, software, and technologies. Ensures compliance with regulatory and privacy requirements during the design and implementation of modeling and analysis projects. Education & Experience Requirements: Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Physics or Operations Research and 3 years of experience with quantitative analytics using large and complex datasets OR, in the alternative: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Physics or Operations Research and 5 years of experience with quantitative analytics using large and complex datasets Required Skills: Experience must include 2 years in each of the following skills: (1) Performing statistical modeling and machine-learning techniques leveraging linear regression, generalized linear modeling (GLM), survival analysis, XGBoost or other ensemble and bagging techniques, neural network, and deep learning; (2) Performing data wrangling leveraging variable selection techniques and regularization techniques, including Ridge, Lasso, and elastic nets; performing feature engineering for structured and unstructured data; and, hold-outs and cross-validation model performance assessment and validation; (3) Interfacing with business partners to analyze requirements and translate requirements into data and modeling analyses; p resenting quantitative analytical results and data-driven solutions to business stakeholders from Finance, Actuarial, Marketing, and Service; and, (4) Programming applications leveraging 2 or more of the following languages: R, Python, PySpark, or SQL. 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. Please note: At this time, employees of Group Benefit Solutions can be considered for open positions within Group Benefit Solutions only. Applications from Group Benefit Solutions employees for open positions within other New York Life businesses are unable to be considered. Nearest Major Market: Manhattan Nearest Secondary Market: New York City Job Segment: Database, Scientific, Computer Science, Data Analyst, Testing, Technology, Engineering, Data APPLY NOW » APPLY NOW Apply Now Start apply with LinkedIn Start Please wait... 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