Data Scientist

Why us?

RABOT Energy is on a mission to make green energy easy and accessible for everyone --- and we're looking for a curious and impact-driven Data Scientist to help us get there. You'll join a growing data team and work closely with product managers, engineers, and designers to uncover insights that shape our products, optimize customer experiences, and drive smarter decisions.

If you thrive in a fast-paced, dynamic environment and enjoy turning complex data into actionable insights, we'd love to hear from you!

What can you bring

• Proficiency in SQL for querying large analytical datasets (BigQuery or similar is a plus).
• Strong skills in Python for data analysis, modeling, and writing production-quality code.
• Solid understanding of statistical methods, A/B testing, and experimentation frameworks.
• Experience analyzing user behavior data to support product decisions.
• Ability to translate business questions into clear, structured analyses.
• Great communication skills - you can explain technical insights to non-technical teammates.

Nice to have:

• Experience with energy datasets, time series analysis, or forecasting.
• Exposure to optimization models, causal inference, or anomaly detection.
• Familiarity with cloud-based data infrastructure (e.g., Azure, GCP)
• Degree in Data Science, Statistics, Computer Science, or a related quantitative field
• Experience working in cross-functional product teams (with PMs, engineers, designers).
• German language skills (a plus, not a requirement).

What success looks like (6-12 months):

• You've developed a deep understanding of our products, how our customers interact with them, and where ambiguity or blind spots still exist in product behavior and decision-making.
• You've familiarized yourself with our core data sets --- from smart charging behavior to energy consumption patterns --- and begun to uncover both limitations and opportunities in our data infrastructure.
• You've unlocked meaningful insights that have directly informed team priorities, product iterations, or operational improvements --- and made those insights accessible to both technical and non-technical stakeholders.
• You've meaningfully contributed to the development and operation of our optimization models, supporting the data science team in scaling and improving the intelligence behind smart charging and pricing strategies.

Location: Based or willing to relocate to Hamburg

Lacking experience in some of the areas mentioned? No need for concern -- we are committed to providing you with the necessary support for learning, training, and on-the-job coaching

Our Benefits

• Enjoy flexible working hours and the freedom to work remotely, offering you a work-life balance that suits your lifestyle, even from the comfort of your home.
• We're committed to your growth. Benefit from comprehensive training, regular team meetings, and open, transparent communication to keep you informed and engaged.
• Maintain your physical well-being with an Urban Sports Club membership that offers you a world of fitness opportunities.
• Immerse yourself in a vibrant startup atmosphere, where a spirited team, exciting team events, and our 'Employees Recruit Employees' program await you -- your path to rewarding success.
• Celebrate the holidays with peace of mind, as you'll always have Christmas Eve and New Year's Eve off to make cherished memories.
• Workation: Enjoy two weeks of workation per year and work from anywhere in the EU.

For all our positions, we are open to providing flexible work arrangements to accommodate the unique needs of everyone.

Your Impact

• Dive deep into our data to understand how customers use our products and identify areas for improvement.
• Partner with product teams to analyze features, define KPIs, and support data-informed prioritization.
• Design and evaluate A/B tests and experiments to assess product changes and user behavior.
• Build robust data pipelines, models, and dashboards to monitor product performance and business health.
• Translate ambiguous business questions into structured analytical work that informs product and business decisions.
• Collaborate with engineers to contribute to production-grade code where needed.
• Build and support robust optimization models that power smart charging and pricing intelligence, contributing both to their development and to their integration into product and business workflows.
• Communicate findings clearly to both technical and non-technical stakeholders, helping the team act on data-driven insights.