Agent/ Attorney Firm Name:Fragomen, Del Rey, Bernsen Loewy, LLP
Agent/ Attorney Phone:2122302877
Agent/ Attorney Phone Ext.:
Agent/ Attorney Address Line 1:1400 BROADWAY
Agent/ Attorney Address Line 2:Floor 9
Agent/ Attorney City:New York
Agent/ Attorney State/ Province:NEW YORK
Agent/ Attorney Country:UNITED STATES OF AMERICA
Agent/ Attorney Postal Code:10018
Agent/ Attorney Email:jnieves@fragomen.com
Position Info
Prevailing Wage Track Number:P10020181684149
Prevailing Wage SOC Code :15-2041
Prevailing Wage SOC Title :Statisticians
Prevailing Wage Skill Level:Level I
Prevailing Wage:89149
Prevailing Wage Unit of Pay:Year
Prevailing Wage Source:OES
Prevailing Wage Other Source:
Prevailing Wage Determination Date :2020-10-30
Prevailing Wage Expiration Date :2021-06-30
Wage Offer From:102300
Wage Offer To:
Wage Offer Unit of Pay:Year
Workstie Address Line 1:805 Moberly Lane
Worksite Address Line 2:
Worksite City :Bentonville
Worksite State:ARKANSAS
Worksite Postal Code:72716
Job Title:Senior Data Scientist
Minimum Education:Master's
Other Degree/ Diploma:
Major Field of Study:Statistics, Computer Science, Engineering, or related field
Required Training:N
Required Training Month:
Required Field of Training:
Required Experience :N
Required Expreience Months :
Accept Alternate Field of Study:N
Accept Alternate Major:
Alternate Combination of Education/ Experience:Y
Required Alternate Level of Education :Bachelor's
Other Alternate Level of Education:
Acceptable Years of Experience:5
Accept Foreign Educationa:Y
Acceptable Alternate Occupation:Y
Acceptable Alternate Occupation Month:24
Accept Alternate Job Title:Experience in data science or related experience
Normal Requirements of Job Opportunity:Y
Required Foreign Language:N
Specific Skills:Must have experience with Coding in programming language Python, VBA, Matlab, and R; Processing and interpreting data with Data Wrangling and Data Visualization; Building and solving computational models using derivativebased Numerical Optimization Algorithms; Conducting feature importance analysis and dimension reduction using Matrix Decomposition Eigendecomposition, PCA; Performing data analysis with Regression; Building supervised and unsupervised model with Decision Tree, KNN, and Clustering; Developing and operating data model using Tensor Methods, Linear Algebra and Calculus; Performing Time Series Analysis for data interpretation and prediction; Understanding data with Descriptive Statistical Analysis; and Manipulating data with SQL. Employer will accept any amount of experience with the required skills.