Fiscal Year

2020

Case Number

A-20027-11493

Case Status

Certified

Received Date

2020-03-20

Decision Date

2020-07-20

Refile

N

Original File Date

2020-01-01 08:33:51

Previous SWA Case Number State

Schedule A Sheepherder

N

Employer Name

NEW YORK LIFE INSURANCE COMPANY

Employer Name Slug

new-york-life-insurance-company

Employer Address 1

51 MADISON AVENUE

Employer Address 2

Employer City

NEW YORK

Employer City Slug

new-york

Employer State

NEW YORK

Employer State Slug

new-york

Employer Country

UNITED STATES OF AMERICA

Employer Postal Code

10010

Employer Phone

212-576-7000

Employer Number of Employees

8600

Employer Year Commenced Business

1845

NAICS Code

524113

FW Ownership Interest

N

Employer Contact Name

Christopher Pinchiaroli

Employer Contact Address 1

51 Madison Avenue

Employer Contact Address 2

Employer Contact City

New York

Employer Contact State/Province

NEW YORK

Employer Contact Country

UNITED STATES OF AMERICA

Employer Contact Postal Code

10010

Employer Contact Phone

212-576-4504

Employer Contact Email

christopher_pinchiaroli@newyorklife.com

Agent Attorney Name

Maura Travers

Agent Attorney Firm Name

Seyfarth Shaw LLP

Agent Attorney Phone

(617) 946-4814

Agent Attorney Address 1

2 Seaport Lane Seaport East

Agent Attorney Address 2

Suite 300

Agent Attorney City

Boston

Agent Attorney State/Province

MASSACHUSETTS

Agent Attorney Country

UNITED STATES OF AMERICA

Agent Attorney Postal Code

2210

Agent Attorney Email

mtravers@seyfarth.com

PW Track Number

P10019207028509

PW SOC Code

15-2041

PW SOC Title

Statisticians

PW Skill Level

Level I

PW Wage

70034.00

PW Unit of Pay

Year

PW Wage Source

OES

PW Determination Date

2019-11-20

PW Expiration Date

2020-06-30

Wage Offer From

130000.00

Wage Offer To

0.00

Average Salary

130000.00

Wage Unit of Pay

Year

Worksite Address 1

51 Madison Avenue

Worksite Address 2

Worksite City

New York

Worksite City Slug

new-york

Worksite State

NEW YORK

Worksite Postal Code

10010

Job Title

Senior Data Scientist, Retail Life Department

Job Title Slug

senior-data-scientist-retail-life-department

Minimum Education

Master's

Major Field of Study

Applied Mathematics, Computer Science, Engineering, Statistics, Actuarial Sci. or Operation Research

Required Training

N

Required Experience

N

Required Experience Months

Accept Alternative Field of Study

N

Accept Alternative Major Field of Study

Accept Alternative Combination

Y

Accept Alternative Combination Education

Bachelor's

Accept Alternative Combination Education Years

5

Accept Foreign Education

Y

Accept Alternative Occupation

Y

Accept Alternative Occupation Months

36

Accept Alternative Job Title

performing predictive modeling specific to risk pricing or risk classification of a retail client ba

Job Opportunity Requirements Normal

Y

Foreign Language Required

N

Specific Skills

Masters or higher degree in applied mathematics, computer science, engineering, statistics, actuarial science or operation research willing to accept foreign education equivalent plus three years of experience in performing predictive modeling specific to risk pricing or risk classification of a retail client base or, alternatively, a bachelors degree and five years of experience as stated above. Specific skillsother requirements Must also possess 3 years of the following Performing a wide range of statistical modeling techniques, including Logistic Regression, Linear Regression, Quantile Regression, GLM, Robust Regression, Time Series Analysis, Survival Analysis, Discretetime Hazard Model, and Cox Regression; Applying machine learning concepts, including Random Forest, Quantile Forests, Survival Forests, Gradient Boosting Xgboost and LigtGBM, Neural Network, Cluster Analysis, Model Ensemble, and Model Stacking techniques; Applying machine learning concepts, including Random Forest, Quantile Forests, Survival Forests, Gradient Boosting Xgboost and LigtGBM, Neural Network, Cluster Analysis, Model Ensemble, and Model Stacking techniques; Performing regularization Ridge, Lasso, Elastic nets, feature engineering, selection transformation, high level categorical reduction, splines, etc., dimensionality reduction PCA, SVD, validation holdouts, CV, bootstrap, and model optimization Grid search, Bayesian Optimization; Performing outlier detection, robust statistical modeling e.g. robust regression, design and analysis of experiments, hypotheses testing, convex and nonconvex optimization and partial least squares regression; Programming in Python, R, SAS, Cython, C, PySpark, Tensorflow, Matlab, SQL, UnixLinux, and exposure to GitHub version control; Working with largescale data on HadoopSpark system, including parallel computing, distributed computing and distributed data processing; Working with opensource packagemodules and demonstrating capability to customize the underlying algorithm according to businessresearch requirement; Performing data visualization using Rggplot, Lattice, Plotly, etc, R Shiny, Jupyter Notebook, and Tableau; and Interfacing with business leaders and external stakeholders to analyze requirements and translate requirements into data and modeling analysis.

Combination Occupation

N

Offered to Applicant Foreign Worker

Y

Foreign Worker Live on Premises

N

Foreign Worker Live in Domestic Service

N

Foreign Worker Live in Domestic Service Count

Professional Occupation

Y

Application for College/University Teacher

N

SWA Job Order Start Date

2019-12-13

SWA Job Order End Date

2020-01-17

Sunday Edition Newspaper

Y

First Newspaper Name

The New York Times

First Advertisement Start Date

2019-12-15

Second Newspaper Ad Name

The New York Times

Second Advertisement Type

Newspaper

Second Ad Start Date

2019-12-22

Employer Website From Date

2019-12-12

Employer Website To Date

2020-01-21

Professional Organization Ad From Date

2020-01-01 08:33:51

Professional Organization Advertisement To Date

2020-01-01 08:33:51

Job Search Website From Date

2019-12-16

Job Search Website To Date

2019-12-23

Employee Referral Program From Date

2019-12-12

Employee Referral Program To Date

2020-01-21

Local Ethnic Paper From Date

2020-01-01 08:33:51

Local Ethnic Paper To Date

2020-01-01 08:33:51

Radio/TV Ad From Date

2020-01-01 08:33:51

Radio/TV Ad To Date

2020-01-01 08:33:51

Employer Received Payment

N

Posted Notice at Worksite

Y

Layoff in Past Six Months

N

Country of Citizenship

CHINA

Foreign Worker Birth Country

CHINA

Class of Admission

H-1B

Foreign Worker Education

Master's

Foreign Worker Information: Major

STATISTICS

Foreign Worker Years of Education Completed

2015

Foreign Worker Institution of Education

THE GEORGE WASHINGTON UNIVERSITY

Foreign Worker Education Institution Address 1

2121 I STREET NW

Foreign Worker Education Institution Address 2

Foreign Worker Education Institution City

WASHINGTON

Foreign Worker Education Institution State/Province

DC

Foreign Worker Education Institution Country

UNITED STATES OF AMERICA

Foreign Worker Education Institution Postal Code

20052

Foreign Worker Experience with Employer

N

Foreign Worker Employer Pays for Education

N

Foreign Worker Currently Employed

Y

Employer Completed Application

N

Preparer Name

Maura Travers

Preparer Title

Attorney

Preparer Email

mtravers@seyfarth.com

Employer Information Declaration Name

Christopher Pinchiaroli

Employer Information Declaration Title

Associate General Counsel