Role overview
- 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!
What you'll work on
- 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
Tags & focus areas
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