Job ID:
J36993
Specialized Area:
Data Science
Job Title:
DATA SCIENCE
Location:
Peoria,IL
Duration:
8 Months
Domain Exposure:
Telecom, Oil & Gas, IT/Software
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EAD
Client:
To Be Discussed Later
Employment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)
JOB DESCRIPTION
Provides solutions to its customers far beyond the initial equipment sale. Services provided to customers after purchase leverage their connected equipment and our outstanding field technology, and decades of product, service and application expertise to enhance performance.
Services is where we are investing our time, talent and money because they drive value for our customers by reducing total owning and operating costs.
As a Data Scientist in Parts Pricing, you will use methods in data analytics and statistical analysis to solve problems for internal and external Caterpillar customers. You will contribute to the Parts Pricing mission by leading projects of medium to high complexity with direct business impact. This role is primarily focused on the analysis, reporting, and visualization of Parts Pricing data.
ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract