Senior Data Scientist; GeoSpatial Analytics

(Senior) Data Scientist (all genders) Geo Spatial Analytics

Berlin, Germany

Join us as a (Senior) Data Scientist (all genders) in our Geo Spatial Analytics team and help shape the future of autonomous mobility!

At MOIA , you'll be joining the Geo Spatial Analytics team – a smart, driven, and fun group of people who care deeply about using data to shape the future of mobility. We're the team that builds data products to ensure the smartest routing decisions for our self-driving vehicles, taking into account all possible influencing factors. Our aim is making self-driving vehicles reality.

We are convinced that data is at the heart of it all.

We build reliable, scalable data products and analytical models that empower decision-makers across MOIA . As part of our team, you’ll help transform raw data into actionable insights — uncovering patterns, explaining performance, and driving improvements in our self-driving fleet operations.

• Work cross-functionally with teams across MOIA to provide intelligence on efficient routing
• Own and evolve the dynamic layers of the service geonet to ensure smart, data-driven routing
• Build and validate statistical and machine learning models (e.g., predicting failures and performance)
• Turn complex business questions into clear data models, KPIs, and metrics
• Share knowledge and support teams in the Fleet domain

• Turn raw (geo-) data into clear and actionable analytics insights
• Identify optimization opportunities across our R&D processes
• Translate complex business requirements into meaningful data products
• Predict service quality using knowledge of operational factors and conditions
• Pairing with other team members on complex coding challenges or process improvements is essential for our team work
• Ensure data integrity, quality, and scalability for our dynamic data layers

• Several years of hands‑on experience in Data Science, Data Analytics;
• Experience with geospatial data;
• Knowledge of REST and OGC standards ( WMS , WFS , WMTS );
• Passion for understanding and analyzing vehicle/fleet operation processes in the exciting field of Autonomous Driving;
• Experience in SQL and at least one modern programming language, preferably Python;
• User proficiency with Cloud Services (AWS, Azure, GCP etc.);
• Ability to efficiently deliver complex insights to diverse audiences (Product Managers, Project Managers, Senior Leaders, Embedded Engineers, etc.);
• High level of self‑organization and agency in prioritization and decision‑making;
• Enthusiasm for knowledge sharing and maintaining T‑shaped developer profiles in the team;
• Excellent stakeholder management and communication skills, with the ability to work closely with source teams to understand event streams, business processes, and data signals.
• A keen eye for identifying edge cases and structural issues in event or signal data, and the confidence to advocate for upstream changes when necessary.

• Fluent English skills, both written and verbal

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!

• 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…