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Case Number: A-21174-06360

Fiscal year: 2022

Fiscal Year

2022

Case Number

A-21174-06360

Case Status

Certified-Expired

Received Date

2021-07-29

Decision Date

2021-12-27

Refile

N

Original File Date

2022-01-01 10:40:51

Previous SWA Case Number State

Schedule A Sheepherder

N

Employer Name

AUTODESK, INC.

Employer Name Slug

autodesk-inc

Employer Address 1

THE LANDMARK ONE MARKET STREET

Employer Address 2

SUITE 400

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

94105

Employer Phone

415-507-5000

Employer Number of Employees

4700

Employer Year Commenced Business

1982

NAICS Code

541511

FW Ownership Interest

N

Employer Contact Name

Michael MacDonald

Employer Contact Address 1

111 McInnis Parkway

Employer Contact Address 2

Employer Contact City

San Rafael

Employer Contact State/Province

CALIFORNIA

Employer Contact Country

UNITED STATES OF AMERICA

Employer Contact Postal Code

94903

Employer Contact Phone

415-539-4618

Employer Contact Email

global.mobility@autodesk.com

Agent Attorney Name

Yvonne A Toy

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

autodesk@cipllp.com

PW Track Number

P10020323917899

PW SOC Code

15-2041

PW SOC Title

Statisticians

PW Skill Level

N/A

PW Wage

129955.00

PW Unit of Pay

Year

PW Wage Source

Other

PW Determination Date

2021-03-29

PW Expiration Date

2021-06-30

Wage Offer From

161200.00

Wage Offer To

177320.00

Average Salary

169260.00

Wage Unit of Pay

Year

Worksite Address 1

The Landmark One Market St.

Worksite Address 2

Suite 500

Worksite City

San Francisco

Worksite City Slug

san-francisco

Worksite State

CALIFORNIA

Worksite Postal Code

94105

Job Title

Sr. Data Scientist

Job Title Slug

sr-data-scientist

Minimum Education

Master's

Major Field of Study

See H.14

Required Training

N

Required Experience

Y

Required Experience Months

6

Accept Alternative Field of Study

Y

Accept Alternative Major Field of Study

See H.14

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

6

Accept Alternative Job Title

See H.14

Job Opportunity Requirements Normal

N

Foreign Language Required

N

Specific Skills

Masters Degree in Statistical Science or Statistics plus 6 months of experience in the job offered or in a data sciencerelated occupation.br br Position requires at least some experience or graduatelevel coursework in each of the following skillsbr 1 Expertise in generalized linear models and its extensions for model building, including exploratory data analysis techniques, variable transformations and selection, parameter estimation and interpretation, prediction, hierarchical models, model selection and Bayesian model averaging;br 2 Design, conduct, and analyze experimentconduct observational study to infer treatment causal effects in data using AB testing, factorial and fractional factorial design, sequential design, response surface design, Bandit methods such as UCB, GPUCB, and Thompson Sampling;br 3 Apply Bayesian methods and inference to modeling data in various settings i.i.d., timevarying, sequence, panel, network. Such methodologies include, for example, Hidden Markov Models, Mixture Models, Dirichlet Processes, Gaussian Processes, Dynamic Generalized Linear Models, Latent Space Model;br 4 Advanced knowledge in computational statistics methods to obtain numerical solutions to statistically formulated problems, including the following methods NewtonRaphson Method, Fisher Scoring method, ExpectationMaximization method, Gradient Descent method, Monte Carlo method, and Markov Chain Monte Carlo method;br 5 Using machine learning and data mining to discover patterns in large datasets;br 6 Programming languages Python, R, SQL to process, transform, and visualize large datasets and build statistics and machine learning models in an algorithmically efficient fashion; andbr 7 Advanced knowledge of deep learning frameworks such as TensorFlow, Keras, PyTorch and experience implementing neural network models such as LSTMs, word2vec, autoencoders using these tools.

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

2021-04-09

SWA Job Order End Date

2021-05-10

Sunday Edition Newspaper

Y

First Newspaper Name

San Francisco Chronicle

First Advertisement Start Date

2021-05-09

Second Newspaper Ad Name

San Francisco Chronicle

Second Advertisement Type

Newspaper

Second Ad Start Date

2021-05-16

Employer Website From Date

2022-01-01 10:40:51

Employer Website To Date

2022-01-01 10:40:51

Professional Organization Ad From Date

2021-05-06

Professional Organization Advertisement To Date

2021-05-15

Job Search Website From Date

2021-04-07

Job Search Website To Date

2021-04-21

Employee Referral Program From Date

2022-01-01 10:40:51

Employee Referral Program To Date

2022-01-01 10:40:51

Local Ethnic Paper From Date

2021-05-12

Local Ethnic Paper To Date

2021-05-12

Radio/TV Ad From Date

2022-01-01 10:40:51

Radio/TV Ad To Date

2022-01-01 10:40:51

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

STATISTICAL SCIENCE

Foreign Worker Years of Education Completed

2018

Foreign Worker Institution of Education

DUKE UNIVERSITY

Foreign Worker Education Institution Address 1

2080 DUKE UNIVERSITY ROAD

Foreign Worker Education Institution Address 2

Foreign Worker Education Institution City

DURHAM

Foreign Worker Education Institution State/Province

NC

Foreign Worker Education Institution Country

UNITED STATES OF AMERICA

Foreign Worker Education Institution Postal Code

27708

Foreign Worker Experience with Employer

N

Foreign Worker Employer Pays for Education

N

Foreign Worker Currently Employed

Y

Employer Completed Application

N

Preparer Name

Yvonne A Toy

Preparer Title

Partner

Preparer Email

autodesk@cipllp.com

Employer Information Declaration Name

Michael MacDonald

Employer Information Declaration Title

Global Mobility Program Manager