Corporate Vice President - Lead Data Scientist

Job Requisition ID:92472

Location Designation:Fully Onsite

Location: 44 South Broadway White Plains New York 10601 (fully in-office)

Offered Wage: $171999.88/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: Masters degree in Statistics Data Science Computer Science Mathematics or related field (willing to accept foreign education equivalent) plus three (3) years of experience as a Corporate Vice President Lead Data Scientists or related occupation with experience in performing statistical and predictive modeling using large and complex datasets for insurance or finance industry applications or alternatively a bachelors degree in Statistics Data Science Computer Science Mathematics or a related field (willing to accept foreign education equivalent) and five (5) years of experience as a Corporate Vice President Lead Data Scientists or related occupation with experience in performing statistical and predictive modeling using large and complex datasets for insurance or finance industry applications. Specific skills/other requirements - Must also possess the following (quantitative experience requirements not applicable to this section): Statistical modeling leveraging linear regression generalized additive models (GAM) generalized linear models (GLM) survival analysis performing machine learning modeling leveraging random forest XGBoost neural networks deep learning models cluster analysis and unsupervised learning approaches; Leveraging Ridge Lasso and elastic nets techniques and performing predictive modeling leveraging variable selection techniques; Feature creation using transformation binning high-level categorical reduction performing cross validation using hold-out k-fold leave-one-out stratified and bootstrapping methods; Designing and executing experiments with a focus on test/control studies applying advanced statistical techniques including bias mitigation strategies such as stratified sampling and conducting power and sample size calculations to ensure robust and reliable results; Programming applications leveraging 2 or more of the following languages: R Python PySpark SQL or Hadoop; and utilizing GitHub for version control and collaborative development leveraging features such as pull requests and code review to maintain code quality and streamline team workflows. Travel 10% - 15% domestic and international in addition to occasional travel to offices in the tri-state area.

Eligible for Employee Referral Program.

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Overtime eligible:Exempt

Discretionary bonus eligible:Yes

Sales bonus eligible:No

Pay Transparency

Overtime eligible:Exempt

Discretionary bonus eligible:Yes

Sales bonus eligible:No

Actual base salary will be determined based on several factors but not limited to individuals experience skills qualifications and job location. Additionally employees are eligible for an annual discretionary addition to base salary employees may also be eligible to participate in an incentive program.

Our Benefits

We provide a full package of benefits for employees and have unique offerings for a modern workforce including leave programs adoption assistance and student loan repayment programs. Based on feedback from our employees we continue to refine and add benefits to our offering so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.

Our Commitment to Inclusion
At New York Life fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Lifes leadership in this space.

Recognized as one of Fortunes Worlds Most Admired Companies New York Life is committed to improving local communities through a culture of employee giving and volunteerism supported by the proud that due to our mutuality we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life please visit the Careers page of .

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Job Requisition ID: 92472