• Senior Data Scientist

    Location US-IL-Lisle
    Job ID
    2019-33857
    # of Positions
    1
    Internal Title
    Data Scientist Lead/Sr
    Position Type
    Regular Full Time Employee
    Category
    Business Operations
    Travel
    Less Than 10%
    Relocation Offered
    No
    ERP Eligibility
    Eligible for Employee Referral Bonus
  • Overview

    The Trucking industry is becoming more technologically advanced every day, driving innovation in the industry and making vehicles do things never thought possible only a decade ago. Autonomous vehicles, electrification, Automatic Driver Assistance Systems (ADAS), Connectivity and Telematics are just some of the new and innovative ideas being worked at Navistar, moving our products into the future.  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

    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
    • At least 5 years of analytics or statistical analysis experience

    OR

    • Master’s degree
    • At least 3 years of analytics or statistical analysis experience

    OR

    • At least 7 years of analytics or statistical analysis 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 on machine learning and various modeling techniques (random forest/decision tree, regression, neural nets)
    • 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/Spark experience
    • Machine Learning/Predictive Modeling experience
    • Some engineering understanding/experience (engine, powertrain, etc.)

    Competencies:

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

    It's Uptime at International

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

     

    We are an Equal Opportunity Employer: EEO is the Law Poster, EEO is the Law Supplement
     

    It's Uptime at International

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