Navistar, Inc.

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Data Scientist Fellow

Data Scientist Fellow

Job ID 
# of Positions 
Internal Title 
Data Scientist Fellow
Position Type 
Regular Employee
Business Operations - BO
Less Than 10%
Relocation Offered 
ERP Eligibility 
Eligible for Employee Referral Bonus


Navistar International Corporation is a leading North American truck manufacturer with great products, strong market positions and best-in-class distribution. For 175 years we have had a 100% commitment to doing what it takes to satisfy our customers, and our commitment today is as strong as ever. We are rededicated to strengthening our core businesses. Our recent investments and product launches position us for success. It all starts with a comprehensive approach and a team effort from our employees. So we’re looking for exceptionally talented and results-oriented individuals to join us and deliver on our promises to our customers, dealers, employees and shareholders.


The Data Scientist Fellow will have the following duties and responsibilities:

  • Lead Navistar’s drive to derive value from data science and analytics as part of the Analytics Leadership Team
  • Create and lead analytic projects with multiple internal stakeholders
  • Improve Navistar business models through the use of data
  • Extract and analyze data from internal databases as well as from external data (i.e.OnCommand systems, GPS, weather, demographics, telematics, etc.)
  • Responsible for all aspects of model building process: data aggregation, cleansing, building, validation, and implementation
  • Mentor team members by teaching analytic and modeling best practices
  • Effectively present analytic results and communicate modeling computations to customers

Position Purpose and Requirements

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.


Basic Requirements:

  • Bachelor’s degree and at least 12 years of analytics or statistical analysis experience
  • 2 years of lead experience 


  • Master’s degree and at least 8 years of analytics or statistical analysis experience
  • 2 years of lead experience 


  • At least 14 years of analytics or statistical analysis experience
  • 2 years of lead experience 

Additional Requirements

  • Qualified candidates, excluding current Navistar employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. Navistar does not anticipate providing employment related work sponsorship for this position (e.g., H-1B status)
  • Experience with large datasets using technology such as Hadoop
  • Programming experience, including data extraction, cleansing and manipulation (SQL)
  • R and/or Python and/or SAS programming

Desired Skills:

  • Experience in development of colleagues in analytics
  • Expertise in Statistical Analysis and Modeling
  • Excellent communication skills / strong business partner
  • Cloud Platforms ( Azure / Amazon Web Services)
  • Machine Learning/Predictive Modeling experience
  • Spark


  • Dealing with Ambiguity
  • Functional/Technical Skills
  • Motivating Others
  • Presentation Skills
  • Problem Solving
  • Drive for Results

Compliance/Marketing Requirements

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Navistar is an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

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