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Join us as a Data Scientist / Engineer (all genders) in our Rider Feedback team and help shape the future of autonomous mobility!
The Rider Feedback team enables MOIA and its global customers to understand how riders experience autonomous (AD) trips. We collect and analyze feedback ranging from overall satisfaction, perceived safety, and comfort to specific input about pick-up and drop-off locations.
Building on this data, the team develops actionable feedback insights through clustering, aggregation, AI-based categorization, and by connecting feedback with other data sources. Our goal is to identify trends and patterns that help teams across MOIA continuously improve the autonomous mobility experience
What you will do
- Use large language models (LLMs) to perform text classification and categorization, maintaining and improving automated data labeling workflows.
- Turn raw feedback data into clear and actionable analytics insights.
- Translate complex business requirements into meaningful data products.
- Ensure data integrity, quality, and scalability for our dynamic data layers.
- Develop monitoring and alerting to ensure reliable pipeline operation.
- Work in a cross-functional team together with software engineers, Product Manager, UX designer and UX research.
- Collaborate closely with the data platform teams to ensure the datasets fit MOIA’s data lake infrastructure and best practices, as well as comply with data protection and privacy regulations.
- Collaborate closely with other data teams to combine feedback data with operational and system data.
What will help you to fulfill your role
- Several years of hands-on experience in Data Science/Engineering.
- Expertise in the following technologies: Python and SQL.
- Experience building KPIs driver trees, or other explanatory models.
- Experience working with machine learning models and algorithms, with practical knowledge of model development and evaluation.
- Ability to communicate effectively with diverse audiences (Product Managers, Project Managers, Senior Leaders, Software Engineers, etc.).
- Familiarity with tools and frameworks in the LLM landscape.
- Ability to adapt to new technologies and methodologies in the evolving data and AI landscape.
Nice to haves:
- Experience with LLM evaluation, prompt versioning, and monitoring in production (e.g., tracking response quality, cost optimization, latency management).
- Experience building analytical dashboards with tools like Tableau or AWS QuickSight.
- Experience analyzing feedback data, e.g. performing sentiment analysis using NLP models, analyzing customer satisfaction or other customer KPIs.
- Experience working in agile cross-functional teams using pair programming, code reviews, scrum rituals, CI/CD automation.
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.
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