Fiscal Year

2023

Case Number

A-22080-28473

Case Status

Certified

Received Date

2022-04-25

Decision Date

2022-12-21

Refile

N

Original File Date

2023-01-01 17:59:40

Previous SWA Case Number State

Schedule A Sheepherder

N

Employer Name

TWITTER, INC.

Employer Name Slug

twitter-inc

Employer Address 1

1355 MARKET ST.

Employer Address 2

SUITE 900

Employer City

SAN FRANCISCO

Employer City Slug

san-francisco

Employer State

CALIFORNIA

Employer State Slug

california

Employer Country

UNITED STATES OF AMERICA

Employer Postal Code

94103

Employer Phone

415-222-9670

Employer Number of Employees

5652

Employer Year Commenced Business

2006

NAICS Code

541511

FW Ownership Interest

N

Employer Contact Name

Kayla Arroyave

Employer Contact Address 1

1355 Market Street

Employer Contact Address 2

Suite 900

Employer Contact City

San Francisco

Employer Contact State/Province

CALIFORNIA

Employer Contact Country

UNITED STATES OF AMERICA

Employer Contact Postal Code

94103

Employer Contact Phone

630-605-0839

Employer Contact Email

karroyave@twitter.com

Agent Attorney Name

Natalie Joy L AngPinlac

Agent Attorney Firm Name

Corporate Immigration Partners LLP

Agent Attorney Phone

4157717500

Agent Attorney Address 1

465 California Street

Agent Attorney Address 2

Suite 700

Agent Attorney City

San Francisco

Agent Attorney State/Province

CALIFORNIA

Agent Attorney Country

UNITED STATES OF AMERICA

Agent Attorney Postal Code

94104

Agent Attorney Email

ustwitter@cipllp.com

PW Track Number

P10021259589413

PW SOC Code

15-2041

PW SOC Title

Statisticians

PW Skill Level

Level II

PW Wage

103002.00

PW Unit of Pay

Year

PW Wage Source

OES

PW Determination Date

2022-03-18

PW Expiration Date

2022-06-30

Wage Offer From

195000.00

Wage Offer To

0.00

Average Salary

195000.00

Wage Unit of Pay

Year

Worksite Address 1

1355 Market Street

Worksite Address 2

Suite 900

Worksite City

San Francisco

Worksite City Slug

san-francisco

Worksite State

CALIFORNIA

Worksite Postal Code

94103

Job Title

Sr. Data Scientist

Job Title Slug

sr-data-scientist

Minimum Education

Doctorate

Major Field of Study

Computer Science, Statistics, Data Science or in related field

Required Training

N

Required Experience

Y

Required Experience Months

36

Accept Alternative Field of Study

Y

Accept Alternative Major Field of Study

Computer Science, Statistics, Data Science or in related field

Accept Alternative Combination

N

Accept Alternative Combination Education

Accept Alternative Combination Education Years

Accept Foreign Education

Y

Accept Alternative Occupation

Y

Accept Alternative Occupation Months

36

Accept Alternative Job Title

in the job offered or in a computerrelated occupation

Job Opportunity Requirements Normal

Y

Foreign Language Required

N

Specific Skills

The position requires a PhD or foreign equivalent degree in Computer Science, Statistics, Data Science or in related field and 3 years of experience in the job offered or in a computerrelated occupation.br br Special Requirements Position requires knowledge or coursework in each of the following skillsbr br 1. Using SOL and related languages to query data and working with large datasets in database platforms such as Oracle, Teradata and Netezza;br 2. Hypothesis testing, experimental design, sampling methodologies and variance reduction methods;br 3. Using Python and R for data analysis and statistical modeling;br 4. Proposing new metrics for business strategy, validating metrics accuracy and sensitivity through experiments and statistical models;br 5. Data visualization using tools such as Tableau for reporting and dashboards to track KPls and deliver insights;br 6. Crowd computing, survey design and human rater evaluation;br 7. Using big data platforms such as Hadoop and Spark to process logs, aggregate data and analyze large datasets;br 8. Supervised machine learning algorithms including linear regression, logistic regression, random forests, boosting, etc. to explaining statistical relationships among variables;br 9. Unsupervised machine learning algorithms including kmeans and hierarchical clustering; andbr 10. Statistical models for forecasting and prediction, including ARIMA models, Bayesian models, and statistical simulations.br br Employment and background checks may be required.

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

2022-01-05

SWA Job Order End Date

2022-02-08

Sunday Edition Newspaper

Y

First Newspaper Name

San Francisco Chronicle

First Advertisement Start Date

2022-01-16

Second Newspaper Ad Name

San Francisco Chronicle

Second Advertisement Type

Newspaper

Second Ad Start Date

2022-01-23

Employer Website From Date

2023-01-01 17:59:40

Employer Website To Date

2023-01-01 17:59:40

Professional Organization Ad From Date

2022-01-10

Professional Organization Advertisement To Date

2022-01-24

Job Search Website From Date

2022-01-10

Job Search Website To Date

2022-01-24

Employee Referral Program From Date

2023-01-01 17:59:40

Employee Referral Program To Date

2023-01-01 17:59:40

Local Ethnic Paper From Date

2022-01-13

Local Ethnic Paper To Date

2022-01-13

Radio/TV Ad From Date

2023-01-01 17:59:40

Radio/TV Ad To Date

2023-01-01 17:59:40

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

Doctorate

Foreign Worker Information: Major

STATISTICS

Foreign Worker Years of Education Completed

2015

Foreign Worker Institution of Education

RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY

Foreign Worker Education Institution Address 1

110 FRELINGHUYSEN RD

Foreign Worker Education Institution Address 2

Foreign Worker Education Institution City

PISCATAWAY

Foreign Worker Education Institution State/Province

NJ

Foreign Worker Education Institution Country

UNITED STATES OF AMERICA

Foreign Worker Education Institution Postal Code

8854

Foreign Worker Experience with Employer

N

Foreign Worker Employer Pays for Education

N

Foreign Worker Currently Employed

Y

Employer Completed Application

N

Preparer Name

Natalie Joy L AngPinlac

Preparer Title

Partner

Preparer Email

ustwitter@cipllp.com

Employer Information Declaration Name

Kayla Arroyave

Employer Information Declaration Title

Global Mobility Associate