Data Scientist - Fleet Analytics
Role details
Job location
Tech stack
Job description
- 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
- Help teams meet their analytics goals and keep dashboards accurate and insightful
- Partner with stakeholders to solve business challenges using data
- Share knowledge and support teams in the Fleet domain
- Support Fleet.OS business unit with our Data Science and Analytics expertise
What you will do
- Turn raw 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.
Requirements
- Several years of hands-on experience in Data Science, Data Analytics (experience with geospatial data is a plus);
- 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.
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!
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.
About the company
We are a young and innovative mobility company aspiring to change people’s lives by re-imagining urban mobility. MOIA is developing a radically new shuttle-on-demand service that will bring affordable, clean and convenient mobility to everybody and make cities a better place to live.
Running as an independent company under the umbrella of the Volkswagen Group, we are able to utilize the resources and know-how of a global corporation – while being an agile, experimental and team-spirited start-up.
Our fast growing team in Berlin and Hamburg has a human-centered perspective on mobility and is focusing on one goal: Be one of the leading global mobility-service-providers by 2025.
Sounds exciting? We are looking for bright minds who want to join us on this exciting and challenging journey. Become the next member of our diverse, inspired and highly skilled team!