All Details of Green Card Application:
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Case Number: A-23059-06618
Fiscal year: 2023
Fiscal Year
2023
Case Number
A-23059-06618
Case Status
Withdrawn
Received Date
2023-02-28
Decision Date
2023-02-28
Refile
N
Original File Date
2023-01-01 08:04:32
Previous SWA Case Number State
Schedule A Sheepherder
N
Employer Name
Lendem Solutions, LLC
Employer Name Slug
lendem-solutions-llc
Employer Address 1
7800 Dallas Parkway
Employer Address 2
Employer City
Plano
Employer City Slug
plano
Employer State
TEXAS
Employer State Slug
texas
Employer Country
UNITED STATES OF AMERICA
Employer Postal Code
75024
Employer Phone
214-914-2973
Employer Number of Employees
29
Employer Year Commenced Business
2021
NAICS Code
5239
FW Ownership Interest
N
Employer Contact Name
John Humphrey
Employer Contact Address 1
7800 Dallas Parkway
Employer Contact Address 2
Employer Contact City
Plano
Employer Contact State/Province
TEXAS
Employer Contact Country
UNITED STATES OF AMERICA
Employer Contact Postal Code
75024
Employer Contact Phone
214-914-2973
Employer Contact Email
john.humphrey@lendem.com
Agent Attorney Name
Kelli J Meilink
Agent Attorney Firm Name
Husch Blackwell LLP
Agent Attorney Phone
816-983-8309
Agent Attorney Address 1
4801 Main Street
Agent Attorney Address 2
Suite 1000
Agent Attorney City
Kansas City
Agent Attorney State/Province
MISSOURI
Agent Attorney Country
UNITED STATES OF AMERICA
Agent Attorney Postal Code
64112
Agent Attorney Email
kelli.meilink@huschblackwell.com
PW Track Number
P10022097045412
PW SOC Code
15-2051
PW SOC Title
Data Scientists
PW Skill Level
Level III
PW Wage
115232.00
PW Unit of Pay
Year
PW Wage Source
OES
PW Determination Date
2022-10-24
PW Expiration Date
2023-06-30
Wage Offer From
160000.00
Wage Offer To
0.00
Average Salary
160000.00
Wage Unit of Pay
Year
Worksite Address 1
7800 Dallas Parkway
Worksite Address 2
Worksite City
Plano
Worksite City Slug
plano
Worksite State
TEXAS
Worksite Postal Code
75024
Job Title
Senior Data Scientist
Job Title Slug
senior-data-scientist
Minimum Education
Master's
Major Field of Study
Stat., Mach. Learning, Data Analytics, Math., Ops. Research, Eng., IT, or related
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
Any data scientist position in the financial services industry
Job Opportunity Requirements Normal
N
Foreign Language Required
N
Specific Skills
Masters degree in Statistics, Machine Learning, Data Analytics, Mathematics, Operations Research, Engineering, Information Technology, or related field plus 3 years of experience in any data scientist position in the financial services industry. 3 years of experience extracting and manipulating data, building feature engineering pipelines using multiple database technologies such as MySQL Server and Hadoop. 3 years of experience with data scripting languages e.g., SQL, Python, R or statisticalmathematical software e.g., R, SAS, or Matlab. Demonstrated experience working on projects involving large scale, multidimensional databases, complex business infrastructure, and crossfunctional teams. Demonstrated ability to work with relational databases, write SQL scripts, and set up data pipelines for moving and processing large amounts of data. Demonstrated experience developing supervised and unsupervised machine learning algorithms e.g., regression, decision treesrandom forest, neural networks, NLP, feature selectionreduction, clustering, parameter tuning, etc.. Demonstrated understanding of common families of models, feature engineering, feature selection, and practical machine learning issues. Demonstrated understanding of techniques to build explainable artificial intelligencemachine learning solutions to ensure compliance in the highly regulated lending industry. In lieu of a Masters degree and 3 years of experience, employer will accept a Bachelors degree in Statistics, Machine Learning, Data Analytics, Mathematics, Operations Research, Engineering, Information Technology, or related field plus 5 years of experience in the requirements listed above.
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
2022-09-12
SWA Job Order End Date
2022-10-24
Sunday Edition Newspaper
Y
First Newspaper Name
The Dallas Morning News
First Advertisement Start Date
2022-09-25
Second Newspaper Ad Name
The Dallas Morning News
Second Advertisement Type
Newspaper
Second Ad Start Date
2022-10-02
Employer Website From Date
2023-01-01 08:04:32
Employer Website To Date
2023-01-01 08:04:32
Professional Organization Ad From Date
2023-01-01 08:04:32
Professional Organization Advertisement To Date
2023-01-01 08:04:32
Job Search Website From Date
2022-09-08
Job Search Website To Date
2022-10-04
Employee Referral Program From Date
2023-01-01 08:04:32
Employee Referral Program To Date
2023-01-01 08:04:32
Local Ethnic Paper From Date
2023-01-01 08:04:32
Local Ethnic Paper To Date
2023-01-01 08:04:32
Radio/TV Ad From Date
2022-10-18
Radio/TV Ad To Date
2022-10-19
Employer Received Payment
N
Posted Notice at Worksite
Y
Layoff in Past Six Months
N
Country of Citizenship
INDIA
Foreign Worker Birth Country
INDIA
Class of Admission
H-1B
Foreign Worker Education
Master's
Foreign Worker Information: Major
INFORMATION TECHNOLOGY AND MANAGEMENT
Foreign Worker Years of Education Completed
2017
Foreign Worker Institution of Education
THE UNIVERSITY OF TEXAS AT DALLAS
Foreign Worker Education Institution Address 1
800 W. CAMPBELL ROAD
Foreign Worker Education Institution Address 2
Foreign Worker Education Institution City
RICHARDSON
Foreign Worker Education Institution State/Province
TX
Foreign Worker Education Institution Country
UNITED STATES OF AMERICA
Foreign Worker Education Institution Postal Code
75080
Foreign Worker Experience with Employer
N
Foreign Worker Employer Pays for Education
N
Foreign Worker Currently Employed
N
Employer Completed Application
N
Preparer Name
Kelli J Meilink
Preparer Title
Attorney
Preparer Email
kelli.meilink@huschblackwell.com
Employer Information Declaration Name
John Humphrey
Employer Information Declaration Title
Chief Financial Officer