Job
- Level
- Senior
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop predictive models analyzing charging behavior, optimizing billing structures, and managing the data pipeline from raw data analysis to AI-driven insights in dashboards.
Job Technologies
Your role in the 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.
Our expectations of you
Education
- Degree in Data Science, Statistics, Applied Mathematics, or a related field, or equivalent practical experience.
Qualifications
- 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.
Experience
- 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.
What we offer
- 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
Health, Fitness & Fun
Work-Life-Integration
Food & Drink
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
Engel & Völkers IT und Media GmbH
Engel & Völkers has established itself as a competent service company specializing in the sale and rental of high-quality residential and commercial properties in Germany's most dynamic real estate market over the past 20 years. Our commitment to being advisors on equal footing, combined with our expertise and exclusive network, have made us the leading player in the Berlin market for residential and commercial properties.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication, Construction, Real Estate, Building Services
Employer reviews
by devworkplaces.com
Total
(2 Reviews)3.9
Career Growth
3.7Engineering
3.4Workingconditions
4.7Culture
4.1
Senior Data Scientist
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
