New York Life Insurance Co
Corporate Vice President - Lead Data Scientist
New York Life Insurance Co, White Plains, New York, United States
Overview
Job Requisition ID: 92472 Location Designation: Fully Onsite Location: 44 South Broadway, White Plains, New York 10601 (fully in-office) Offered Wage: $171,999.88 / year Responsibilities
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 perspectives. Drives 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 analyses to address business objectives and client needs. Uses experimental design to verify the performance of algorithms and predictive models. Collaborates with business and technology partners to design, build, and implement AI and data science solutions. Communicates with internal stakeholders concerning product design, data specifications, and model implementations. Collaborates with partners on ideas, and with internal clients and stakeholders on projects, test results, opportunities, and questions. Resolves problems and removes obstacles to ensure timely, 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 design and implementation of modeling and analysis projects. Qualifications
Education: Master’s degree in Statistics, Data Science, Computer Science, Mathematics or related field (or foreign education equivalent) plus three (3) years of experience as a Corporate Vice President, Lead Data Scientist or related occupation with insurance/finance industry experience; or a bachelor’s degree in the same fields with five (5) years of experience with equivalent roles. Specific skills: Statistical modeling (linear regression, GAM, GLM, survival analysis), machine learning (random forest, XGBoost, neural networks, deep learning), cluster/unsupervised learning, feature creation, cross-validation, experimental design with test/control studies and bias mitigation, power and sample size calculations, programming in R, Python, PySpark, SQL or Hadoop, and version control with GitHub. Travel: 10%–15% domestic and international travel, plus occasional travel to tri-state area offices. Other
Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Actual base salary will be determined based on experience, skills, qualifications, and location. Eligible for annual discretionary bonus and potential incentive program. Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a technology-, data-, and AI-enabled organization, we remain grounded in our values. Our Benefits
We provide a full package of benefits for employees and offer leave programs, adoption assistance, and student loan repayment programs. Details available on our NYL Benefits Site.
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Job Requisition ID: 92472 Location Designation: Fully Onsite Location: 44 South Broadway, White Plains, New York 10601 (fully in-office) Offered Wage: $171,999.88 / year Responsibilities
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 perspectives. Drives 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 analyses to address business objectives and client needs. Uses experimental design to verify the performance of algorithms and predictive models. Collaborates with business and technology partners to design, build, and implement AI and data science solutions. Communicates with internal stakeholders concerning product design, data specifications, and model implementations. Collaborates with partners on ideas, and with internal clients and stakeholders on projects, test results, opportunities, and questions. Resolves problems and removes obstacles to ensure timely, 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 design and implementation of modeling and analysis projects. Qualifications
Education: Master’s degree in Statistics, Data Science, Computer Science, Mathematics or related field (or foreign education equivalent) plus three (3) years of experience as a Corporate Vice President, Lead Data Scientist or related occupation with insurance/finance industry experience; or a bachelor’s degree in the same fields with five (5) years of experience with equivalent roles. Specific skills: Statistical modeling (linear regression, GAM, GLM, survival analysis), machine learning (random forest, XGBoost, neural networks, deep learning), cluster/unsupervised learning, feature creation, cross-validation, experimental design with test/control studies and bias mitigation, power and sample size calculations, programming in R, Python, PySpark, SQL or Hadoop, and version control with GitHub. Travel: 10%–15% domestic and international travel, plus occasional travel to tri-state area offices. Other
Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Actual base salary will be determined based on experience, skills, qualifications, and location. Eligible for annual discretionary bonus and potential incentive program. Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a technology-, data-, and AI-enabled organization, we remain grounded in our values. Our Benefits
We provide a full package of benefits for employees and offer leave programs, adoption assistance, and student loan repayment programs. Details available on our NYL Benefits Site.
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