We are making the future of Mobility come to life starting today.
Our vision at Autofleet is to create the first, truly sustainable, Vehicle as a Service layer,
providing an elastic supply of vehicles serving any source of demand.
We are an early stage startup funded by industry leading investors and are looking for the best people to partner with and shape the company, product and technology moving forward.
Data is at the heart of how autofleet makes business and product decisions.
We’re looking for a passionate and experienced data scientist to come work alongside us to take on some of the most interesting and impactful problems of fleet optimization.
You’ll dig into the data to uncover insights, design experiments, measure the impact and ultimately help influence decision-making.
What You’ll do
Plan, implement and test optimization algorithms that maximize the utilization of our partner fleets
Design and build product experiments, analyze results and implement changes
Develop the data infrastructure to monitor business and product performance
Be the master of your domain, take full ownership over your projects from problem definition to their successful deployment
What You’ll need
Degree in a quantitative field such as statistics, economics, applied math, or engineering. Advanced degrees are preferred
2 years experience in quantitative analysis experience (preferably in an engineering or product role)
Experience with common analysis stack - BigQuery, SQL and Python are preferred
Proven track record of designing, developing, and deploying Machine-Learning models in product environments