Job
- Level
- Senior
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In diesem Job entwickelst du Modelle zur Analyse von Ladeverhalten und zur Vorhersage von Kundenbindung, optimierst Tarifstrukturen und gestaltest die Datenpipeline von der Rohdatenanalyse bis hin zu prädiktiven Dashboards mit AI-gestützten Insights.
Job Technologien
Deine Rolle im Team
- In this role, you will develop models and insights that help predict charging behavior, optimize billing, and improve customer engagement.
- You will combine advanced statistical methods with business acumen to shape product and financial strategies in the e-mobility sector.
- You will own customer behavior end to end: from the raw data, through dbt models and our semantic layer, to forecasts and AI agents the business relies on.
- Analyze charging data, billing flows, and customer usage to identify drivers of revenue, cost, and engagement.
- Build predictive models for churn, load forecasting, pricing, and promotion effectiveness.
- Forecast future churn and customer behavior: which drivers will stop charging or stop paying, why, for which car brand or fleet, and what revenue is at risk.
- Build and maintain dbt models in Snowflake for charging sessions, contracts, and customer behavior, with a clear grain, tests, and documentation for every table.
- Develop and govern the semantic layer, so that KPIs such as active customers, churn, and kWh are defined once and give the same number everywhere.
- Own the end-to-end customer behavior pipeline, from source data to model to forecast to dashboard, including monitoring and a monthly check of forecast against actuals.
- Build AI agents on top of the semantic layer that answer business questions reliably, with guardrails and checks against known numbers.
- Design and evaluate A/B tests and other experiments to validate product and commercial initiatives.
- Develop advanced analytics in Snowflake and PostgreSQL, leveraging Python or R for modeling.
- Translate complex models into actionable insights and communicate results to non-technical stakeholders.
- Collaborate with analysts and engineers to ensure data availability, quality, and scalability.
Unsere Erwartungen an dich
Ausbildung
- Degree in Data Science, Statistics, Applied Mathematics, or a related field, or equivalent practical experience.
Qualifikationen
- Proven track record of applying ML and statistical models to real-world business problems, including churn or time-series forecasting with honest validation (backtests, holdout periods).
- Familiarity with BI tools (Power BI, Tableau) for storytelling and insight communication.
- Excellent problem-solving skills and the ability to bridge technical outputs with strategic decisions.
Erfahrung
- 5 to 8 years of experience in data science, ideally in mobility, energy, or fintech.
- Strong SQL skills (Snowflake, PostgreSQL) and solid experience with Python (or R).
- Hands-on experience with dbt and with defining metrics in a semantic or metrics layer.
- Practical experience building with LLMs or AI agents, and the habit of checking what they produce.
- Experience with experimentation frameworks and advanced statistical methods.
Unser Angebot
- A unique opportunity combining the energy of a scale up with the power of BMW, Mercedes Benz Mobility & bp.
- Working on products & services with a high social impact.
- An international team of talented people who love what they do and live a collaborative spirit.
- An open minded culture with room for growth and the freedom to bring in own ideas.
- Subsidized gym membership.
- Subsidized office lunch benefit.
- Personal development budget for your professional growth.
- Monthly mobility budget.
- Up to 2 days of home office in a week.
- Offsite/ team events & much more and modern, sunny offices in Berlin & Munich.
Benefits
Gesundheit, Fitness & Fun
Work-Life-Integration
Essen & Trinken
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Engel & Völkers IT und Media GmbH
Seit den letzten 20 Jahren hat sich Engel & Völkers als ein kompetentes Dienstleistungsunternehmen am dynamischsten Immobilienmarkt Deutschlands erfolgreich auf den Verkauf und die Vermietung hochwertiger Wohn- und Gewerbeimmobilien spezialisiert. Durch unseren professionellen Ansatz und unserem exklusiven Netzwerk sind wir zum führenden Unternehmen im Bereich von Wohn- und Geschäftshäusern in Berlin geworden.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Internet, IT, Telekom, Bau, Immobilien, Haustechnik
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
(2 Bewertungen)3.9
Career Growth
3.7Engineering
3.4Workingconditions
4.7Culture
4.1
Senior Data Scientist
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
