Autofleet's data scientists are responsible for researching, developing and maintaining machine learning models and optimization algorithms as well as data infrastructure and pipelines that power autofleet's Vehicle as a Service platform for optimizing large scale fleets.

As a data scientist in autofleet you will work directly with engineers, sales, product and clients in order to translate business requirements to production level prediction models and algorithms.

What You'll Do

• Research and find creative solutions to a unique set of problems
• Develop and maintain machine learning models and optimization algorithms from research to production
• Develop data infrastructure and pipelines
• Collaborate with engineers, sales, product and clients
  
  
  

Requirements

• Master's/Ph.D. in Computer Science, Electrical Engineering, Machine Learning, information systems engineering, or related field
• Strong knowledge in Python - a must
• 5+ years of hands-on experience with developing & maintaining production class Machine Learning projects aimed towards solving business problems - a must
• Self-starter, fast-learner, self-motivated, able to think big and move fast
• Familiarity with statistical modeling techniques
• Experience in data analysis and visualization and strong knowledge in SQL
• Experience with A/B testing and simulations - an advantage
• Experience with spatial temporal data / time series - an advantage
• Experience with routing optimization problems - a major advantage