Job
- Level
- Senior
- Ort
- Hamburg
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In dieser Position analysierst du Geodaten und entwickelst statistische sowie Machine Learning-Modelle zur Optimierung des smarten Routings autonomer Fahrzeuge und transformierst komplexe Geschäftsanfragen in klare Datenprodukte.
Job Technologien
Deine Rolle im Team
- Join us as a Senior Data Scientist (all genders) in our GeoSpatial Analytics team and help shape the future of autonomous mobility!
- At MOIA, you'll be joining the GeoSpatial 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
- 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.
Erfahrung
- Several years of hands-on experience in Data Science, Data Analytics.
- Experience with geospatial data.
- Experience in SQL and at least one modern programming language, preferably Python.
Unser Angebot
- 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.
- 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.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
MOIA GmbH
Die MOIA GmbH gehört zum Volkswagen-Konzern und hat Büros in Berlin und Hamburg. Sie bietet umweltfreundliche Ridepooling-Dienste an und arbeitet an innovativen Lösungen für autonome Mobilität. Das internationale Team beschäftigt sich mit KI, Software, Hardware und Embedded Systems für städtische Verkehrssysteme.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Fahrzeugbau, Zulieferer
Senior Data Scientist GeoSpatial Analytics
- Ort
- Hamburg
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
