All Details of Green Card Application:
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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