Advanced Driver Assistance Systems (ADAS) Data Scientist

Phoenix, Arizona (United States)



The ADAS team is currently seeking a data scientist to play a critical role in enabling Nikola vehicles with the most high tech ADAS and Autonomous features.

Come work in a field where the technology is changing daily, but will also forever change the world as we know it. Come get to know a team who are daily learning, discovering, and developing the technology that everyone will know by name in 5-7 years from now.

Our ideal candidate will learn quickly, be passionate about automated vehicle technology, and strive for perfecting the safest and most advanced vehicle on the market. 

What you’ll be building:

  • Design a data processing pipeline for vehicle data and machine learning.
  • Develop stunning visualization for users to quickly understand the problems and metrics.
  • Custom data analysis tasks from truck and field data.
  • Be able to take your data and insights gained, to develop stories to bring the data to life.

What you “must” already bring to the table:

  • At least a 4-year career as a data scientist professional, in a start-up, rapid growing or fast paced environment.
  • BS, MS preferred, in CS, Machine Learning, Statistics, Math, Ops Research or related discipline.
  • Strong programming proficiency in: Python, C++ Scala, Spark, Jupyter, Zephyr.
  • Database knowledge of: Postgres, SQL, mongoDB, etc.
  • Experience with Cloud platforms (AWS, Kubernetes, Docker, etc.)

Complimentary skills:

  • Automotive or a related industry
  • Functional Safety, ISO26262
  • C programming

This position is not eligible for CPT or OPT. 


Equal Employment Opportunity statement (EEO)

Nikola Motor Company™ is committed to a policy of equal employment opportunity. We recruit, employ, train, compensate, and promote without regard to race, color, age, sex, ancestry, marital status, religion, national origin, physical or mental disability, sexual orientation, gender identity, medical condition, pregnancy, veteran status, genetic information or any other classification protected by state or federal law.