Senior Data Scientist
About The Position
Vay is rewriting the rules of urban mobility by offering a service where customers can tap a button and a car arrives, remotely driven by their world-first Remote Driving technology on real public streets. They are live in Las Vegas and scaling rapidly, supported by a strategic investment of up to $410 million from Grab. Vay's mission is to replace private car ownership with a faster, cleaner, door-to-door mobility model. They are the first to roll out vehicles in both Europe and the USA on public roads without a human being inside and are currently the second-largest commercial, driverless car fleet in the Western World. Vay has partnered with Kodiak to integrate remote-driving technology into autonomous trucks in the US and has completed tens of thousands of trips, expanding their Las Vegas fleet to meet demand. The company plans to expand across the US and Europe. This high-impact role is at the intersection of data science, mapping, and real-world mobility systems, focusing on data and algorithms that define how Vay’s vehicles navigate cities safely and efficiently within their Operational Design Domain (ODD). The work will directly enable scaling to new cities, improving routing performance, and solving complex real-world challenges in a rapidly evolving mobility environment.
Requirements
- Strong experience applying data science or machine learning techniques to real-world problems.
- Ability to write high-quality, production-grade code.
- Experience building and deploying applied data science solutions across the full lifecycle—from concept to implementation and rollout.
- Strong Python experience and familiarity with modern data science workflows (e.g., Jupyter, GitHub, cloud compute environments).
- Experience working with geospatial data, routing systems, or map-based datasets is highly valuable.
- Comfortable working cross-functionally and owning complex initiatives in a fast-moving environment.
Nice To Haves
- Prior engineering experience or strong software engineering foundations.
- Experience with technologies such as Spark, TensorFlow, PyTorch, or similar ML frameworks.
Responsibilities
- Develop automated approaches to map augmentation using video, connectivity, trip data, and open datasets such as OpenStreetMap.
- Build data science solutions that accelerate map creation and updates for new cities where Vay launches.
- Design and develop routing simulation tools to discover optimal strategies for improving ETA and ATA accuracy.
- Lead and contribute to initiatives within the Operational Design Domain (ODD) data science pod.
- Identify and automate inefficiencies in map generation workflows to enable faster and more frequent updates.
- Work cross-functionally with engineering, operations, and product teams to implement and deploy production-grade solutions.
- Help scale the impact of the data science team by driving key initiatives and reducing knowledge concentration on critical ODD topics.
Benefits
- A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality.
- Huge scope for impact in a fast paced environment
- ESOP stock options: A stake in Vay’s future – not just a salary.
- Unlimited Paid Vacation Days
- 401(k) programme
- Health, Dental & Vision Insurance
- All Vay team members receive 30% off their Vay rides
- Wellness Hub free gym access & wellness app subscriptions
- Exclusive external discounts
- $350 Home office budget
- Relocation financial assistance when relocating to Las Vegas
- Regular team events throughout the year
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
1-10 employees
