Log inSign up free
  • Home
  • Profile
  • Jobs
    • Applications
    • Career
    • Resume
    • Cover letters
  • Content
    • Posts
    • Media
  • Messages
  • Analytics
    • Overview
    • Pages
  • Portfolio
  • More tools
    • Hiring
  • Settings
All jobs
DCDigital Charging Solutions logo

Digital Charging Solutions

Berlin

Senior Data Scientist (f/d/m).

FULL TIMESENIOR LEVELDATA & ML

Make an Impact by:

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.

Your Profile

  • 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 (backtests, holdout periods).
  • 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.
  • Degree in Data Science, Statistics, Applied Mathematics, or a related field, or equivalent practical experience.

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

… and of course the classics: delicious coffee & tea, fresh fruits and an office dog friendly environment

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.

Pay
Not stated
Where
Berlin · Munich
Work
Not stated
Type
Full time
Posted
21 Oct, 2026
Apply on the original postingSign in to apply

Unverified board

more at Digital Charging Solutions.

23 Sep, 2026

Digital Charging Solutions

Working Student Corporate Communications (f/m/d)

DCDigital Charging Solutions logo
  • Part time
  • Intern
  • Sales & Marketing

Berlin

Part time

Details
26 May, 2026

Digital Charging Solutions

Staff Software Engineer (f/m/d)

DCDigital Charging Solutions logo
  • Full time
  • Staff level
  • Engineering

Berlin

Full time

Details
28 Jul, 2026

Digital Charging Solutions

Senior Software Engineer (f/m/d)

DCDigital Charging Solutions logo
  • Full time
  • Senior level
  • Engineering

Berlin +1

Full time

Details

similar roles.

30 Jul, 2026

NationsBenefits

Senior Data Engineer

NANationsBenefits logo
  • Full time
  • Senior level
  • Data & ML

Hyderabad, IN

Full time

Details
13 Oct, 2026

NationsBenefits

Senior Data Engineer

NANationsBenefits logo
  • Full time
  • Senior level
  • Data & ML

Plantation, FL

Full time

Details
22 Oct, 2026

STR

Data Analyst Intern - Summer 2027

STSTR logo
  • Internship
  • Intern
  • Data & ML

$25–54/hr

Arlington, VA

Details
4 Aug, 2026

BearingPoint Romania

(Senior) Agentic AI Developer

BRBearingPoint Romania logo
  • Senior level
  • Data & ML

Bucharest +1

Salary not listed

Details
27 Aug, 2026

BearingPoint Romania

Senior Full Stack Developer (.NET & AI)

BRBearingPoint Romania logo
  • Senior level
  • Data & ML

Bucharest, Bucharest, RO +1

Salary not listed

Details
20 Oct, 2026

Social Discovery Group

Senior ML Engineer

SDSocial Discovery Group logo
  • Full time
  • Senior level
  • Remote
  • Data & ML

Serbia +1

Remote

Details