Senior Data Scientist (f/d/m) at Digital Charging Solutions GmbH | BE, DE | Rezi

Senior Data Scientist (f/d/m) at Digital Charging Solutions GmbH

Senior Data Scientist (f/d/m)

Digital Charging Solutions GmbH · BE, DE

2 weeks ago

Senior Data Scientist (f/d/m)

Digital Charging Solutions GmbH · BE, DE

18 days ago
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About the Role

Develop models and insights to predict charging behavior, optimize billing, and improve customer engagement. Combine advanced statistical methods with business acumen to shape product and financial strategies in the e-mobility sector. Own the end-to-end customer behavior pipeline from raw data to AI agents.

Responsibilities

  • 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, including identifying drivers of churn and at-risk revenue.
  • Build and maintain dbt models in Snowflake for charging sessions, contracts, and customer behavior with clear grain, tests, and documentation.
  • Develop and govern the semantic layer for consistent KPI definitions (e.g., active customers, churn, kWh).
  • Own the end-to-end customer behavior pipeline, including monitoring and monthly forecast vs. actuals checks.
  • Build AI agents on top of the semantic layer to answer business questions reliably with guardrails.
  • 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.

Requirements

  • 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.
  • Proven track record of applying ML and statistical models to real-world business problems, including churn or time-series forecasting with honest validation.
  • Practical experience building with LLMs or AI agents, and the habit of checking what they produce.
  • Experience with experimentation frameworks and advanced statistical methods.
  • 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.

Skills

  • Data Science
  • SQL
  • Snowflake
  • PostgreSQL
  • Python
  • R
  • dbt
  • Semantic Layer
  • Machine Learning
  • Statistical Modeling
  • Time-series Forecasting
  • LLMs
  • AI Agents
  • Experimentation Frameworks
  • BI Tools
  • Power BI
  • Tableau

Location

  • Berlin
  • Munich

Work Type

  • Home Office (up to 2 days/week)
  • Onsite

Experience Level

  • 5 to 8 years

Education Level

  • Degree in Data Science, Statistics, Applied Mathematics, or a related field, or equivalent practical experience.

Benefits

  • Subsidized gym membership
  • Subsidized office lunch benefit
  • Personal development budget
  • Monthly mobility budget
  • Delicious coffee & tea
  • Fresh fruits
  • Office dog friendly environment

About the Company

  • At DCS, we develop public charging solutions for electric vehicles, providing access to multiple networks of Charge Point Operators (CPO) and enabling easy, seamless charging.
  • We are a key player in the transition to electromobility.
  • Since the beginning of 2019, we are part of the mobility joint venture between BMW Group and Mercedes Benz Mobility.
  • In 2021, bp joined as the third shareholder.
  • CHARGE NOW is one of our services.

Equal Opportunity

  • At DCS we acknowledge the value of diversity, promote equality and challenge unfair discrimination.
  • We strive to create an inclusive work environment, safe for anyone regardless of their gender identity, sexual orientation, abilities, ethnicity or race.
  • We have the clear goal of driving diversity and inclusion across all dimensions and treat each applicant with the same respect and consideration.