Navistar, Inc.

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Data Scientist Lead

Data Scientist Lead

Job ID 
2017-23637
# of Positions 
1
Internal Title 
Data Scientist Lead
Position Type 
Regular Employee
Category 
Business Operations - BO
Location 
US-IL-Lisle
Travel 
Less Than 10%
Relocation Offered 
No
ERP Eligibility 
Eligible for Employee Referral Bonus

Overview

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 - Lead will have the following duties and responsibilities:

  • Support the organization to derive value from data science and analytics
  • Educate users on benefit of analytics
  • Intense customer focus both internal and external customers
  • Will extract and analyze data from internal databases as well as from external data (i.e.OnCommand systems, GPS, weather, demographics, telematics, etc.)
  • Will utilize data to support businesses model improvements
  • Will assist businesses using data and analytics to help optimize profits
  • 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 in Mathematics, Statistics, Science or Engineering
  • At least 5 years of analytics or statistical analysis experience

OR

  • Master’s degree in Mathematics, Statistics, Science or Engineering
  • At least 3 years of analytics or statistical analysis experience

OR

  • Doctorate degree in Mathematics, Statistics, Science or Engineering 

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)
  • Programming experience, including data extraction, cleansing and manipulation (SQL)
  • R and/or Python programming 

Desired Skills:

  • Statistics experience
  • Excellent communication skills / strong business partner
  • Hadoop experience
  • Cloud Platforms ( Azure / Amazon Web Services)
  • Machine Learning/Predictive Modeling experience
  • Spark

Competencies:

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

Compliance/Marketing Requirements

Visit us at www.Navistar.com to discover more about our organization

 

It's Uptime at International

 

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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