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Information Technology
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Responsible to support YRCW’s product, sales, leadership and marketing teams with insights gained from analyzing company data. Uses large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.


  1. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  2. Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  3. Develop custom data models and algorithms to apply to data sets.
  4. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  5. Develop company A/B testing framework and test model quality.


  1. Adaptability - Maintaining effectiveness when experiencing major changes in work responsibilities or environment (e.g., people, processes, structure, or culture); adjusting effectively to change by exploring the benefits, trying new approaches, and collaborating with others to make the change successful.
  2. Building Trusting Relationships - Using appropriate interpersonal styles to establish effective relationships with customers and internal partners; interacting with others in a way that promotes openness and trust and gives them confidence in one’s intentions.
  3. Collaborating - Working cooperatively with others to help a team or work group achieve its goals.
  4. Communication - Conveying information and ideas clearly and concisely to individuals or groups in an engaging manner that help them understand and retain the message; listening actively to others.
  5. Continuous Learning - Actively identifying new areas for learning; regularly creating and taking advantage of learning opportunities; using newly gained knowledge and skill on the job and learning through their application.
  6. Initiating Action - Taking prompt action to accomplish work goals; taking action to achieve results beyond what is required; being proactive.
  7. Work Standards - Setting high standards of performance for self and others; assuming responsibility and accountability for successfully completing assignments or tasks; self-imposing standards of excellence rather than having standards imposed.



  1. Grade point average 2.75 or better.
  2. Currently enrolled and pursuing undergraduate (at least second year student) or graduate degree in Computer Science, Statistics, Mathematics or related field.
  3. Strong problem-solving skills with an emphasis on product development.
  4. Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  5. Experience working with and creating data architectures.
  6. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  7. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  8. Excellent written and verbal communication skills for coordinating across teams.
  9. A drive to learn and master new technologies and techniques.
  10. Experience manipulating data sets and building statistical models and is familiar with the following software/tools.
  11. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  12. Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
  13. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.



This job operates in a professional office environment indoors. Routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets, and fax machines.




The position requires the ability to spend long hours sitting or standing while using office equipment and computers. Ability to perform repetitive tasks such as typing and keying. Occasional lifting, pushing/pulling, carrying 10 lbs of supplies and materials is required.

YRC Worldwide, along with all subsidiary companies, are an Equal Opportunity/Affirmative Action Employer


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