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Case Number: A-20364-37613

Fiscal year: 2021

Fiscal Year

2021

Case Number

A-20364-37613

Case Status

Certified

Received Date

2021-03-01

Decision Date

2021-08-06

Refile

N

Original File Date

2021-01-01 09:56:59

Previous SWA Case Number State

Schedule A Sheepherder

N

Employer Name

TAKEOFF TECHNOLOGIES

Employer Name Slug

takeoff-technologies

Employer Address 1

203 CRESCENT STREET

Employer Address 2

SUITE 304

Employer City

WALTHAM

Employer City Slug

waltham

Employer State

MASSACHUSETTS

Employer State Slug

massachusetts

Employer Country

UNITED STATES OF AMERICA

Employer Postal Code

2453

Employer Phone

617-825-3633

Employer Number of Employees

160

Employer Year Commenced Business

2016

NAICS Code

511210

FW Ownership Interest

N

Employer Contact Name

Michelle Porreca

Employer Contact Address 1

203 Crescent Street

Employer Contact Address 2

Suite 304

Employer Contact City

Waltham

Employer Contact State/Province

MASSACHUSETTS

Employer Contact Country

UNITED STATES OF AMERICA

Employer Contact Postal Code

2453

Employer Contact Phone

617-825-3633

Employer Contact Email

michelle.porreca@takeoff.com

Agent Attorney Name

Sarah M Coleman

Agent Attorney Firm Name

Parker Gallini LLP

Agent Attorney Phone

7818108990

Agent Attorney Address 1

460 Totten Pond Road

Agent Attorney Address 2

Suite 350

Agent Attorney City

Waltham

Agent Attorney State/Province

MASSACHUSETTS

Agent Attorney Country

UNITED STATES OF AMERICA

Agent Attorney Postal Code

2451

Agent Attorney Email

scoleman@parkergallini.com

PW Track Number

P10020147597341

PW SOC Code

15-1199

PW SOC Title

Information Technology Project Managers

PW Skill Level

Level IV

PW Wage

166234.00

PW Unit of Pay

Year

PW Wage Source

OES

PW Determination Date

2020-10-20

PW Expiration Date

2021-06-30

Wage Offer From

166234.00

Wage Offer To

200000.00

Average Salary

183117.00

Wage Unit of Pay

Year

Worksite Address 1

203 Crescent Street

Worksite Address 2

Suite 304

Worksite City

Waltham

Worksite City Slug

waltham

Worksite State

MASSACHUSETTS

Worksite Postal Code

2453

Job Title

Data Science and Analytics Manager

Job Title Slug

data-science-and-analytics-manager

Minimum Education

Master's

Major Field of Study

Statistics

Required Training

N

Required Experience

N

Required Experience Months

Accept Alternative Field of Study

Y

Accept Alternative Major Field of Study

Comp.Sci., Mathematics, Physics, Operations Research, or another highly quantitative or STEM 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

60

Accept Alternative Job Title

handson technical experience in a data science role SEE H.14

Job Opportunity Requirements Normal

N

Foreign Language Required

N

Specific Skills

CONTINUED FROM H.11br Partner w Product Eng. teams to solve problems. Increase adoption of data products across business partners to drive real business valuebr Resp. for prototype solutions, mathematical models, algorithms, machine learning techniques, robust analytics to provide insights development of data productsbr Lead team that applies state of the art Machine Learning, Deep Learning Nat. Language Processing techniques to understand transform how users interact w core productsbr Develop standardized code processes that can be easily used by larger teambr Inform, influence, support, execute our product decisionsbr Research new technologies methods across data science, data eng., data visualization to improve tech. capabilities of the teambr Communicate research, findings model results clearly effectively to wide audience of relevant partners, build meaningful presentations analyses that tell a storybr Prepare client facing material incl. PowerPoint slides charts, distilling analytical insights effectively into stories for clientsbr br br Minimum Requirements Masters degree in Statistics, Computer Science, Mathematics, Physics, Operations Research, or a another highly quantitative or STEM field and 5 years of handson technical experience in a data science role with extensive experience in creating longterm data science strategy and executing through roadmap implementation.br br Must also have I 5 years of experience must include a. 2 years of experience in building, leading, and managing a team of data scientists, data engineers and data analysts, b. 3 years of experience with Natural Language Processing techniques including text wrangling, preprocessing, parsing, embedding, ngrams, and Machine Learning including classifiers, clustering, time series, ANN, CNN, RNN, LSTM; II Demonstrated in depth experience a. with Python and R and demonstrated comfort developing code in a team environment including git, notebooks, and testing; b. with data modeling and data warehousing in SQLbased languages in a fastpaced business environment with largescale and complex datasets; and c. with data visualization tools including Tableau, Spotfire, and Looker for fullstack data analysis, insight synthesis and presentation; III Demonstrated familiarity with the ipython notebook, Numpy, Pandas, Sklearn and NLTK; IV Strong proficiency with at least one common Deep Learning framework including TensorFlow, Keras, PyTorch, or MXNet; V Excellent communication, social and presentation skills with meticulous attention to detail; VI Track record of initiating and managing crossfunctional and crossorganizational projects, building relationships with stakeholders, and influencing decision makers; VII Track record applying an analytical, creative and innovative approach to solving difficult problems; VIII Demonstrated ability to thrive in a dynamic environment where there can be degrees of ambiguity; IX Strong track record of communicating and partnering with senior stakeholders to deliver scalable global solutions; X Demonstrated expertise in a. demand forecast using Time Series models such as SARIMAX, ETS, TBATS, GRU, or LSTM; b. classification models using Machine LearningDeep Learning on highly imbalanced datasets; c. Natural Language Processing and Deep Learning models for language understanding tasks such as Named Entity Recognition, Text Matching, or Topic Modeling; and d. Extract, transform, load ETL, Data Assessment, Data Mapping and Transformation, Master Data Management; and XI Track record of recruiting talent in analytics, data science and data engineer.

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

2020-09-08

SWA Job Order End Date

2020-10-10

Sunday Edition Newspaper

Y

First Newspaper Name

The Boston Globe

First Advertisement Start Date

2020-09-06

Second Newspaper Ad Name

The Boston Globe

Second Advertisement Type

Newspaper

Second Ad Start Date

2020-09-13

Employer Website From Date

2020-09-03

Employer Website To Date

2020-12-22

Professional Organization Ad From Date

2021-01-01 09:56:59

Professional Organization Advertisement To Date

2021-01-01 09:56:59

Job Search Website From Date

2020-10-01

Job Search Website To Date

2020-10-08

Employee Referral Program From Date

2021-01-01 09:56:59

Employee Referral Program To Date

2021-01-01 09:56:59

Local Ethnic Paper From Date

2021-01-01 09:56:59

Local Ethnic Paper To Date

2021-01-01 09:56:59

Radio/TV Ad From Date

2021-01-01 09:56:59

Radio/TV Ad To Date

2021-01-01 09:56:59

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

STATISTICS

Foreign Worker Years of Education Completed

2011

Foreign Worker Institution of Education

MICHIGAN STATE UNIVERSITY

Foreign Worker Education Institution Address 1

220 TROWBRIDGE ROAD

Foreign Worker Education Institution Address 2

Foreign Worker Education Institution City

EAST LANSING

Foreign Worker Education Institution State/Province

MI

Foreign Worker Education Institution Country

UNITED STATES OF AMERICA

Foreign Worker Education Institution Postal Code

48824

Foreign Worker Experience with Employer

N

Foreign Worker Employer Pays for Education

N

Foreign Worker Currently Employed

Y

Employer Completed Application

N

Preparer Name

Sarah M Coleman

Preparer Title

Attorney

Preparer Email

SColeman@parkergallini.com

Employer Information Declaration Name

Michelle Porreca

Employer Information Declaration Title

Human Resources Lead