CNH Industrial

Data Scientist - Residual Value Analytics

Location US-WI-Racine
Financial Services
Position Type


CNH Industrial is a global leader of industrial goods. We provide farmers with cutting-edge technologies to help them feed a growing world population and we assist in building and rebuilding cities and infrastructures, all with future-proof powertrain solutions. With our Case IH, New Holland Agriculture, Case and New Holland Construction, and FPT Industrial brands, and comprehensive solutions for financing and aftermarket services, we’re driven to meet the needs of our customers.


As the Data Science Specialist-Residual Value Analytics, you will join our Risk team and support the team’s standard, ad hoc and periodical risk-centric projects with focus on preparing, managing, and analyzing multiple data sets, applying machine learning algorithms to create depreciation curves and help to set residual values for our agricultural and construction equipment, as well as for our commercial vehicles. This team member will collaborate with other risk team members and stakeholders from across the organization to initiate and implement creative business solutions which meet business needs. To be successful in this role, you must have very strong quantitative, logical, analytical and problem-solving skills, being able to work with little supervision in a fast‐paced environment, and to handle multiple projects simultaneously.


  • Apply Machine Learning (ML) techniques on big data to develop, refine and implement residual value (RV) loss forecasting, RV recovery reports, and depreciation curves, used to compute RVs for Agricultural and Construction equipment as well as for commercial vehicles
  • Work with IT to create/improve and keep structured data, perform data maintenance and management on daily basis, and consult on best practices for data retention
  • Work to strengthen/increase partnership with external data suppliers worldwide, expanding our options to improve our models prediction power
  • Assess tools/data purchased to support risk management plus tools used by outside vendors or partners
  • Perform ad hoc analyses of business situations, systems, issues and problems as well as research and test new technologies for risk mitigation
  • Provide and present the results of analyses in the form of graphs, charts, and tables, in high quality fashion and acceptable format, for management, peer and audit reviews
  • Maintain our residual value calculation system (Qlik Sense)
  • Document and maintain all procedures and models steps
  • Validation and monitoring of Residual Value tools and their application in sales, underwriting, remarketing or other user areas


  • Bachelors' degree in a quantitative discipline or related fields (e.g. Analytics, Data Science, Statistics, Mathematics, Economics, Finance, Engineering, etc.)
  • 2+ years of experience creating/applying advanced algorithms and/or statistical models such as (machine learning techniques, Logistic regression, hazard rate, time series, Simulation, etc.)


The preferred candidate will have:

  • Strong programming knowledge (R, Python, SAS, and others)
  • Strong knowledge and experience in Big Data
  • Strong interpersonal, written and verbal communication skills
  • Advanced ability to perform exploratory data analysis
  • Problem solving skills and ability to propose and implement creative solutions
  • Ability to work both independently and as part of a team
  • Analytically-oriented with a strong logical and quantitative skills
  • MBA degree 


CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Applicants can learn more about their rights by viewing the federal "EEO is the Law" poster and its supplement here


CNH Industrial participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You can view additional information here.


If you need reasonable accommodation with the application process, please call 1-800-889-4422 option 1 and then option 5, or contact us at


Read about our company’s commitment to pay transparency by clicking this link: pay transparency notice.



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