(Senior) Data Scientist GeoSpatial Analytics
Role details
Job location
Tech stack
Job description
- 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
What you will do
- 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
Requirements
- 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
Benefits & conditions
- 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.