Senior Data Scientist - GeoSpatial Analytics
M
MOIA GmbHAutonomous Mobility
Remote from outside Germany for up to 6 weeks per year from over 35 countriesFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- Several years of hands-on experience
- Required Skills
- AWSPythonSQLGCPMachine LearningAzureData scienceRESTful APIsData analytics
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 Autonomous Driving
- Experience in SQL
- Experience in 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
- High level of self-organization and agency in prioritization and decision-making
- Enthusiasm for knowledge sharing and maintaining T-shaped developer profiles
- Excellent stakeholder management and communication skills
- 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
- Confidence to advocate for upstream changes when necessary
- Fluent English skills, both written and verbal
Responsibilities
- 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
- Ensure data integrity, quality, and scalability for our dynamic data layers
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