Data Scientist
Hybrid
Full Time
#Engineering
#Autonomous
#Mobility
#Machine Learning
#Python
#SQL
#scikit learn
#TensorFlow
Ever wanted to tell people, “Yeah, I helped launch the future of transportation”? Well, here’s your shot. At Vay, we’re flipping the script on mobility with Remote driving—delivering cars to customers with zero hassle and zero driver inside, offering a unique by the minute car rental service. We’re already live in Las Vegas, and trust us, we’re just getting started.
Our journey so far since our launch in 2018:
Revolutionary remote driving tech- We built the world’s first commercial remote driving product.
Breaking boundaries across continents- First to roll out vehicles in both Europe and the USA on public roads without a human being inside & one of only two companies in the States operating a commercial driverless service.
Vegas fleet on the rise- Our vehicle fleet is scaling fast, from 20 to 100 cars in Las Vegas. We’re just getting started!
Watch our CEO, Thomas von der Ohe, deliver a live news segment on CNN - VayDrive
Discover what drives our culture- Explore our core values
Why this role is awesome:
In this exciting role, you’ll play a critical part in developing and scaling the data-driven foundations of our remote driving service. From understanding how our fleet behaves to forecasting customer demand, your work will directly influence how we grow and operate.
You’ll join a deep-tech team tackling unique challenges at the intersection of mobility, AI, and real-world operations, where every model you build has a direct, tangible impact on our product and customer experience.
What you'll be driving:
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Design, test, and deploy machine learning models to analyze cellular network performance, predict fleet behavior, and forecast demand.
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Handle large, dynamic datasets, transforming raw data into actionable insights through preprocessing and feature engineering.
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Integrate models into production systems and fine-tune them for real-time performance.
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Continuously monitor model outputs and iterate based on new data and operational feedback.
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Collaborate closely with engineering, operations, and product teams to translate business challenges into scalable data solutions.
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Contribute to our data science roadmap and help us push the boundaries of what’s possible with predictive modelling.
What are we looking for:
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Solid foundation in mathematics, statistics, and machine learning concepts.
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Proficient in Python and SQL, with experience using libraries like Scikit-learn, Pandas, TensorFlow, or similar.
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Hands-on experience in building predictive models and deploying them in real-world systems.
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Strong data wrangling and preprocessing skills, with comfort handling large-scale, complex datasets.
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Curious, proactive, and excited to solve hard problems in a fast-paced environment.
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Bonus: experience in mobility, fleet optimization, or telecommunications data.
Why Vay?
🧠 Genius level team - Work with the smartest minds from over 30 countries around the world in deep tech & automotive
🌍 Huge scope for impact in a fast paced environment
💰 Salary + stock options
🌴 Unlimited Paid Vacation Days
🎫 Subsidised BVG transport ticket (Berlin)
🏋️♂️ Subsidised gym membership
🛍️ Exclusive external discounts
🍎 Snacks & Drinks in waterfront Berlin office
🏦 Pension contributions
🎊 Fun team events throughout the year
Introduction to Vay
For more information regarding Vay's physical demands, working environments, and safety requirements, please review this link for additional details. Please note, details of what pertains to this role will be discussed during the initial interview.
We would love to stay connected for future opportunities no matter the outcome so we highly encourage if you have one to share your LinkedIn profile with us when applying.
