Job Description


We are researching advanced technologies in the Connected and Automated Vehicle domain. Our team is adding a Data Scientist, who will help us take advantage of in-vehicle, infrastructure­ based, and public data sets to inform and improve our research. You will collaborate with vehicle, transportation and wireless communication experts, global researchers, and academic partners on research projects and real-world trials. Come work with us to make the vehicles and the transportation system of the future safer, more convenient, and more connected!

Job Duties

Work with research team to identify the data requirements, available data source (internal and external such as gee-location specific or social media) and expected outcomes in Connected and Automated Vehicle (CAV) research and experiments

  • Recommend and support data collection, integration and retention requirements by assess the effectiveness and accuracy of data source and data gathering techniques
  • Apply advanced statistical and predictive modeling techniques to validate the findings, build, maintain and improve as iterative approach
  • Coordinate with various teams to implement models
  • Develop experimental design approaches to validate findings or test hypotheses
  • Identify opportunities such as discovering new patterns form large data sets, and find solutions hidden in large data sets to improve the features/applications and find new features/applications
  • Define the validity of data such as how the information is meaningful, and what other information it is related to
  • Ensure the data is in compliance with the regulatory and security policies in place
  • Develop usage and access control policies and systems in collaboration with other data related departments
  • Provide ongoing tracking and monitoring of performance of the statistical models, recommends ongoing improvements to methods and algorithms that lead to findings, including new information
  • Lead the design and deployment of enhancements and fixes to systems as needed
  • Present and depict the rationale of the findings in easy to understand terms to the research team and to the management
  • Educate the team (CAV research and IT department) on new approaches, such as testing hypotheses and statistical validation of results

Required Qualifications

Education Required

Master's or PhD degree (Preferred) in any one of the following disciplines, or in a similar discipline:

  • Machine Learning, Statistics, Applied Mathematics, Computer science or another quantitative field


Required (ALL of the following):

  • Demonstrated experience solving loosely defined problems by leveraging pattern detection over potentially large data sets
  • 2+ years' after school practical experience with data storage and analysis tools such as Sal, Hadoop or other big data frameworks
  • 2+ years' statistical modeling using tools such as Python, MATLAB, R, and/or SAS
  • Experience creating and using advanced machine learning algorithms and statistics.
  • Experience in statistical techniques and concepts (Properties of distributions, statistical tests and proper usage, etc.) and applying these to applications


  • Experience with intelligent Transportation Systems (ITS) or vehicular data
  • Familiarity with either telematics, wireless networking, or V2V V21 communications protocols (examples:  3G, 4G LTE, 5G, UDP, IEEE802.11, CAN, V2V, V21, V2X.)
  • Experience programming within Unix-based operating systems, such as Linux
  • Programming in Python

Other Characteristics

ALL of the following:

  • Have a passion to create and try new ideas
  • Effective communication skills, both verbal and written
  • Demonstrated ability to be productive independently or in a small team environment
  • Eager to quickly learn by searching, reading, by example and trial & error
  • Comfortable working in a multicultural environment
  • Accept some travel
  • Accept long hours on occasion


  • Does not mind working on new and diverse things as opposed to developing perfection in one area

** If interested please contact Kyle Potter at or 774 847 9812 **

Application Instructions

Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!

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