Case Details

Case info Company Info HR Info Attorney Position Info Employee Info
Case info
  • Data Publish Year :2022
  • Case Number:A-21033-48137
  • Case Status:Certified-Expired
  • Received Date:2021-09-10
  • Decision Date:2022-03-07
  • Refile:N
  • Original File Date:
  • Previous State Work Force Agency (SWA) Case Number Stete:
  • Schedule A or a Sheepherder Occupation :N
Company Info
  • Employer Name:EUCLIDEAN TECHNOLOGIES MANAGEMENT LLC
  • Employer Address_Line 1:701 5TH AVE
  • Employer Address_Line 2:SUITE 4200
  • Employer City :SEATTLE
  • State:
  • Employer State/ Province:WASHINGTON
  • Employer Country:UNITED STATES OF AMERICA
  • Employer Postal Code:98104
  • Employer Phone No.:2068398586
  • Employer Phone Extent No.:
  • Total Number of Employees:1
  • Employer Year of Commenced :
  • NAICS Code:523920
  • Foreign Worker Ownership & Interest:N
HR Info
  • Employer Contact Name:John Alberg
  • Employer Contact Address Line1:701 5th Ave
  • Employer Contact Address Line2:Suite 4200
  • Employer Contact City:Seattle
  • Employer Contact State/ Provice:WASHINGTON
  • Employer Contact Country :UNITED STATES OF AMERICA
  • Employer Contact Post Code:98104
  • Employer Contact Phone:2068398586
  • Employer Contact Email:john.alberg@euclidean.com
Attorney
  • Agent/ Attorney Name:Katherine Lopez Ley
  • Agent/ Attorney Firm Name:Cowan Miller Lederman
  • Agent/ Attorney Phone:2068300984
  • Agent/ Attorney Phone Ext.:
  • Agent/ Attorney Address Line 1:1000 Second Avenue
  • Agent/ Attorney Address Line 2:Suite 1620
  • Agent/ Attorney City:Seattle
  • Agent/ Attorney State/ Province:WASHINGTON
  • Agent/ Attorney Country:UNITED STATES OF AMERICA
  • Agent/ Attorney Postal Code:98104
  • Agent/ Attorney Email:klopezley@cmlseattle.com
Position Info
  • Prevailing Wage Track Number:P10020329926911
  • Prevailing Wage SOC Code :15-1111
  • Prevailing Wage SOC Title :Computer and Information Research Scientists
  • Prevailing Wage Skill Level:Level I
  • Prevailing Wage:108888
  • Prevailing Wage Unit of Pay:Year
  • Prevailing Wage Source:OES
  • Prevailing Wage Other Source:
  • Prevailing Wage Determination Date :2021-04-08
  • Prevailing Wage Expiration Date :2021-07-07
  • Wage Offer From:168000
  • Wage Offer To:
  • Wage Offer Unit of Pay:Year
  • Workstie Address Line 1:701 5th Ave See H.14.
  • Worksite Address Line 2:Suite 4200
  • Worksite City :Seattle
  • Worksite State:WASHINGTON
  • Worksite Postal Code:98104
  • Job Title:Senior Data Scientist
  • Minimum Education:Master's
  • Other Degree/ Diploma:
  • Major Field of Study:High Performance Computing or a closely related Engineering or Science field (See H.14.)
  • Required Training:N
  • Required Training Month:
  • Required Field of Training:
  • Required Experience :N
  • Required Expreience Months :
  • Accept Alternate Field of Study:Y
  • Accept Alternate Major:High Performance Computing or a closely related Engineering or Science field See H.14.
  • Alternate Combination of Education/ Experience:N
  • Required Alternate Level of Education :
  • Other Alternate Level of Education:
  • Acceptable Years of Experience:
  • Accept Foreign Educationa:Y
  • Acceptable Alternate Occupation:Y
  • Acceptable Alternate Occupation Month:36
  • Accept Alternate Job Title:Any occupation with the skills in H.14.
  • Normal Requirements of Job Opportunity:Y
  • Required Foreign Language:N
  • Specific Skills:Masters degree in High Performance Computing or a closely related Engineering or Science field with a focus on the High Performance Computing application domain, including optimization, or the foreign equivalent, and three years of experience in developing and implementing machine learning and performing predictive modeling, data analysis, and multidisciplinary optimization in a high performance computing environment. This must include three years of experience in each of the followingbr br Developing models using machine learning algorithms, including building and maintaining an algorithmic testing and benchmarking platform for numerical optimization and machine learning models.br Developing, testing, and executing workflows for design optimization and predictive modeling.br Building simulation environments for testing machine learning models.br Leading technical workshops and seminars.br Utilizing knowledge of Deep Learning Multilayer Perceptron and Recurrent Neural Networks; Tensorflow, Pytorch as a machine learning framework; Jupyter Notebook; and Gaussian Processes.br Building optimization tools using MultiObjective Genetic algorithm and Bayesian optimization.br br Must have education, experience, or research experience involving the application of machine learning and optimization principles to quantitative investing.br br Experience may be gained concurrently.br br H.1 Continuedbr Primary worksite Euclidean Technologies Management LLC moved from quot;800 5th Ave, Suite 4100, Seattle, WA 98104quot; to quot;701 5th Ave, Suite 4200, Seattle, WA 98104quot; on February 12, 2021. The companys old and current addresses are in the same MSA.br br J.12 Continued Aerospace Engineering, which included a focus on the High Performance Computing application domain, including optimization.
  • Combination Occupation :N
  • Offered to Applied Foreign Worker:Y
  • ForeignWorker Live on Premises :N
  • Live in Domestic Service Worker:N
  • Employment Contract :
  • Professional Occupation :Y
  • College/ University Teacher:N
  • Competitive Process:
  • Basic Recruitment Process :
  • Teacher Select Date:
  • Teacher Publish Journal Name:
  • Additional Recruitment Information:
  • Job Oder Start Date:2021-05-20
  • Job Oder End Date:2021-06-21
  • Sunday Edition Newspaper:Y
  • First Newspaper Name:The Seattle Times
  • First Advertisement Start Date:2021-05-23
  • Second Newspaper Name:The Seattle Times
  • Second Advertisement Type:Newspaper
  • Second Ad Start Date:2021-05-30
  • Job Fair From Date:
  • Job Fair to Date:
  • On Campus Recruiting from Date:
  • On Campus Recruiting to Date:
  • Employer Website from Date:2021-05-06
  • Employer Website to Date:2021-07-22
  • Pro. Org. Ad from Date:
  • Pro.Org. Ad to Date:
  • Job Search Website from Date:2021-08-26
  • Job Search Website to Date:2021-09-02
  • Private Employment Firm from Date:
  • Pricate Employment Firm to Date:
  • Employee Referral Program from Date:
  • Employee Referral Program to Date:
  • Campus Placement from Date:
  • Campus Placement to Date:
  • Local Ethnic Newspaper from Date:2021-06-03
  • Local Ethnic Newspaper to Date:2021-06-03
  • Radio/TV Ad from Date:
  • Radio/TV Ad to Date:
  • Employer Received the Payment:N
  • Payment Details:
  • Bargaining Representative Notified:N/A
  • Posted Notice at Worksite:Y
  • Layoff in Past Six Months:N
  • US Worker Considered:
  • Country of Citizenship:INDIA
  • Foreign Worker Birth Country:INDIA
  • Class of Admission :H-1B
Employee Info
  • Foreign Worker Education:Master's
  • Foreign Worker Education Other:
  • Foreign Worker Major:AEROSPACE ENGINEERING SEE H.14.
  • Year of Compelted Education:2015
  • Foreign Worker Istitution of Eduation:UNIVERSITY OF MICHIGAN
  • Foreign Worker Education Instution Address Line 1:500 S STATE ST
  • Foreign Worker Education Institution Address Line 2:
  • Foreign Worker Education Institution City:ANN ARBOR
  • Foreign Worker Educatution Institution State:MI
  • Foreign Worker Education Institution Country :UNITED STATES OF AMERICA
  • Foreign Worker Education Training Post Code:48109
  • Foreign Worker Training Completion :N/A
  • Foreign Worker Required Experience :N/A
  • Foreign Worker Alternate Education and Experience :N/A
  • Foreign Worker Alternate Occupation Experience:Y
  • Foreign Worker Experience with Employer:N
  • Foreign Worker Employer Pay for Education:N
  • Foreign Worker Currently Employed:Y
  • Employer Completed Application :N
  • Preparer Name:Katherine Lopez Ley
  • Preparer Title:Attorney
  • Preparer Email :klopezley@cmlseattle.com
  • Employer Information Declaration Name:John Alberg
  • Employer Declaration Title:Founder and Partner
Back to Top

Contact Us : contact@iadapt.ca

Office Address : Social Innovation Hub Unit #290, 3553 31 St NW Calgary, AB, Canada T2L 2K7 (Please contact us in advance for visiting)