Join us as a Data Scientist (m/f/d) in our Verification & Validation team and help shape the future of autonomous mobility!
As the Verification & Validation team, we ensure that autonomous driving systems are safe, reliable, and ready for the road. We bridge simulation, testing, and real-world validation through data-driven insights and visual models. Our mission is to answer the critical question: “Is the system ready to deploy?”
We’re a diverse group with backgrounds in data science, machine learning, statistics, and automotive testing. We value collaboration, curiosity, and the drive to solve complex problems that directly impact road safety.
What you will do
Be a data scientist!
Develop Computer Vision and statistical models for vehicle behavior validation, scenario analysis, and test coverage assessment.
Build analytics frameworks to compute V&V-specific KPIs (test coverage, scenario diversity, edge case identification, performance benchmarks).
Create models for anomaly detection, scenario classification, and validation of digital twins (vehicle models, sensor models, 3D environments).
Design and implement data pipelines to process large-scale test data from simulation (SiL, HiL) and vehicle testing.
You build it, you run it. With the help of AI Engineers and support from platform teams, you take full ownership over your model code from testing to maintenance and deployment.
Analyze multi-modal sensor data (camera, lidar, radar, GPS) and system logs to identify patterns, trends, and outliers.
Be an analyst!
Validate simulation fidelity against real-world vehicle data through statistical analysis.
Develop dashboards and visualizations that communicate complex test results to stakeholders.
Support root cause analysis for test failures and system anomalies.
Build metrics to assess scenario realism and representativeness across testing platforms.
Contribute to homologation and regulatory compliance through data analysis and reporting.
Be a team player!
Collaborate closely with V&V engineers, function developers, and simulation teams to translate requirements into analytical solutions.
Support cross-functional teams with data-driven insights for test strategy optimization.
Share knowledge through documentation, presentations, and pair programming sessions.
Contribute to continuous improvement of V&V processes and methodologies.
What will help you to fulfill your role
You have a background in data science, machine learning, statistics, or a related technical field.
You’re proficient in Python and SQL, and comfortable building data pipelines and analysis scripts. Experience with statistical modeling (regression, classification, clustering, anomaly detection) and time-series analysis is essential.
Previous experience with professional software engineering practices, like version control (git), unit testing, and an understanding of the python package ecosystem.
You have experience with data visualization tools (e.g., Apache Superset, Tableau, or custom solutions) and know how to tell compelling stories with data.
You’re familiar with cloud platforms (AWS, GCP, or Azure) and understand how to build scalable analytics solutions. Bonus points if you’ve worked with data warehouses like Redshift or Snowflake.
You have a collaborative mindset and can translate complex analytics into actionable insights for diverse stakeholders—from engineers to decision-makers.
You’re curious and analytical, with an investigative approach to problem-solving. You don’t just find patterns—you understand what they mean and why they matter.
Nice to have:
Understanding of autonomous driving systems, V&V processes, or automotive KPIs (MTBI, roadmanship).
Experience with simulation platforms (VTD, Unity, Unreal, Carla) or automotive data formats (mcap, mf4, ROS bags).
Knowledge of safety standards (ISO 26262, ASPICE) or EU regulations for autonomous vehicles.
Familiarity with ML deployment (MLOps) and workflow orchestration (Apache Airflow).
Experience with automotive-specific visualization tools (Lichtblick, rerun).
You’re comfortable working in a multi-national team with occasional travel for meetings (e.g., PI Planning, ~1x/month). You value diverse perspectives and enjoy working in a hybrid environment where learning and experimentation are encouraged.
Most importantly, you’re excited about shaping the future of autonomous driving through data science.
We welcome applicants from diverse backgrounds— even if you don’t meet every requirement. If you’re excited about the role and MOIA’s mission, we’d love to hear from you!
Our benefits in a nutshell
- Competitive salary (including bonus)
- Hybrid work setup: Work from home or one of our offices – you and your team decide how often to meet, blending flexibility with collaboration!
- Flexible working hours and the possibility of flexible work arrangements depending on your needs (parenting, care work, volunteering, etc.)
- Budget and monthly expense allowance for home office setup
- Possibility of remote work from outside Germany for up to 6 weeks per year from over 35 countries – learn more in our blog!
- Public transport ticket (fully subsidized “Deutschlandticket”) for commuting and travelling throughout Germany and discount on MOIA rides
- Subsidized fitness club membership or bike leasing
- Learning environment with continuous learning days, job rotation, trainings and workshops, coaching, conferences, books, and language classes
- Mental health support, 1:1 sessions with external professionals and mental unload workshops
- 30 vacation days, sabbatical and unpaid leave option
- Relocation support with service provider (visa, administration, etc.)
- Dog-friendly offices
For student & internship positions, we have an adjusted set of benefits. You can find them here.
Be who you are!
We are a member of Charta der Vielfalt and are dedicated to actively fostering a workplace that celebrates and promotes diversity in various aspects such as age, gender identity, race, sexual orientation, physical or cognitive ability, and ethnicity. At MOIA, we embrace a culture where people are accepted, respected, valued, appreciated, and included.
In our commitment to promoting diversity and inclusivity, we regularly provide unconscious bias training to all our employees. Furthermore, we continuously strive to enhance our hiring process by ensuring a diverse hiring panel.
Our Future Work model
Since we love to collaborate, it is clear to us that we don’t want to become a fully remote company, but we also don’t need to spend every day of the week in the office to do a great job.
Our current hybrid work approach focuses on adapting to different needs, including increased flexibility that works best for the teams and the individuals with as much self-determination as possible.
Get more insights on how we work on our blog to find out more about our hiring process or follow us on Instagram for a look inside MOIA.
Who we are
At MOIA we’re reimagining the future of mobility – safe, autonomous and tailored to the needs of cities and their people. As a tech company with more than 400 employees, we build mobility solutions that truly move cities forward.
We launched our ridepooling service in Hamburg in 2019 and have been part of the city’s public transport system since 2023. Since launch, we have transported over 12 million passengers. Currently, MOIA is evolving from a mobility provider to a tech provider offering a scalable and safe turnkey solution for autonomous driving.
With office locations in Berlin and Hamburg, our diverse and international team comprising more than 60 nationalities works together toward that shared mission.
MOIA is more than a technology provider – we are a partner to cities and public transport operators committed to creating more livable spaces and delivering mobility solutions that are reliable, safe and comfortable.
Your application to MOIA
We value authenticity and personal insights in your application responses. While AI tools can be useful, we encourage you to answer the following questions based on your own experiences and understanding. This helps us keep a human touch and better evaluate your unique perspective and match for the role.
To reinforce an unbiased screening process, we kindly ask you not to include your picture, age, address, or any other details unrelated to your qualifications and suitability for the role. Additionally, we anonymize applications during the initial review phase by removing personally identifiable information. This ensures that our evaluation focuses solely on your skills, experience, and potential – supporting a fair and inclusive hiring experience for all candidates.
