채용
Required Skills
Python
Java
SQL
Spark
Machine Learning
NOTICE: Pursuant to 20 C.F.R. § 656.10(d), this notice is being provided as a result of the filing of an application for permanent alien labor certification for the following job opportunity:
JOB TITLE &
Employer Name: Scientist, Data Science for XPO Enterprise Services, LLC.
LOCATION: 2055 NW Savier St., Portland, Oregon 97029.
JOB DUTIES: Analyze and interpret large data sets to identify opportunities that will improve XPO’s operational and financial performance. Partner with technology and business stakeholders to create and enhance processes, software applications, metrics and decision-making. Serve as a subject matter expert in one or more facets of the operations. Perform various analytics that range in complexity from descriptive, diagnostic, predictive, prescriptive and cognitive depending on the project. Apply Machine Learning, AI, statistical and/or optimization methods on an as needed basis. *Multiple positions available. *This position is open to telecommuting from anywhere in the United States.
REQUIREMENTS: Primary Requirements: Master's degree, or foreign equivalent, in Operations Research and Information Engineering, Computer Science, Statistics, Mathematics, Economics or any related quantitative disc., or related field. and 1 year of experience as a Data Scientist or related occupation. Alternate Requirements: Bachelor's degree, or foreign equivalent, in Operations Research and Information Engineering, Computer Science, Statistics, Mathematics, Economics or any related quantitative disc., or related field, and 3 years of experience as a Data Scientist or related occupation.
Experience as specified above must include all of the following:
-
Data Science, operations research, or data analysis with a focus on advanced analytics.
-
Statistical modeling.
-
Machine learning.
-
Forecasting and optimization.
-
At least one of the following programming languages: Python, R, SQL, SAS, Spark, Java.
SALARY: $104,187.00 – $105,500.00/Year
An individual may submit an application to the following for consideration for this position:
CONTACT: Apply at https://jobs.xpo.com/job/
Indicate Req. 385615 when applying
Any individual may provide documentary evidence bearing on this application, with information available to workers and information on wages and working conditions, to the Certifying Officer at the Department of Labor. Address: U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210
About XPO
XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you’re looking for a growth opportunity, join us at XPO.
We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification.
Review XPO's candidate privacy statement here.
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About XPO Logistics
Reviews
3.8
48 reviews
Work Life Balance
3.5
Compensation
3.9
Culture
4.1
Career
3.8
Management
3.6
78%
Recommend to a Friend
Pros
Good work-life balance and flexible environment
Opportunity for career growth
Competitive compensation and benefits
Cons
Internal communication could improve
Some organizational bureaucracy
Room for improvement in processes
Salary Ranges
33 data points
Junior/L3
L3
Junior/L3 · Data Scientist
0 reports
$142,000
total / year
Base
$123,000
Stock
-
Bonus
$19,000
$120,700
$163,300
Interview Experience
46 interviews
Difficulty
3.2
/ 5
Duration
14-28 weeks
Offer Rate
37%
Experience
Positive 69%
Neutral 15%
Negative 16%
Interview Process
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
Common Questions
Technical skills
Past experience
Team collaboration
Problem solving
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