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.
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