Der Energieanbieter RABOT Charge macht es f&uuml;r jeden m&ouml;glich, unkompliziert aktiver Teil der Energiewende zu werden. RABOT Charge denkt Energie neu und bietet f&uuml;r Kund*innen einen dynamischen Stromtarif f&uuml;r Haushalt und Elektroauto mit 100% &Ouml;kostrom an. Das hei&szlig;t, im Gegensatz zu anderen Stromanbietern, kauft Rabot Charge Strom kurzfristig &uuml;ber den Day-Ahead und Intraday-Markt ein, nutzt somit die st&uuml;ndlichen Preisschwankungen an der Stromb&ouml;rse und gibt den Einkaufspreis direkt an Kund*innen weiter. So k&ouml;nnen zum Beispiel E-Autos automatisiert dann geladen werden, wenn der B&ouml;rsenstrompreis in einem festgelegten Ladezeitfenster besonders gering ist. Da bei viel Wind und Sonne die Preise niedrig sind, wird so nicht nur der Geldbeutel geschont, sondern auch die Umwelt. Den Energieverbrauch sowie das smarte und automatisierte Energiemanagement k&ouml;nnen Verbraucher*innen in Echtzeit in der RABOT Charge App nachverfolgen und steuern. Ziel ist es, intelligenten und nachhaltigen Stromkonsum f&uuml;r jeden zug&auml;nglich zu machen und den Ausbau erneuerbarer Energien voranzutreiben, um den Klimawandel zu bek&auml;mpfen.

Data Scientist (m/w/d)

Overview Location:&nbsp;Hamburg, Germany (Hybrid – up to 2 remote days/week)&nbsp; Tech Stack:&nbsp;.&nbsp;SQL, Python,&nbsp;dbt, PostgreSQL,&nbsp;BigQuery, Airflow, Terraform, GCP/Azure&nbsp;&nbsp; Team Size:&nbsp;1 Data Scientist, 1 Data Engineer,&nbsp;(Hamburg)&nbsp; Employment Type:&nbsp;Full-time, Permanent&nbsp; Why This Role Matters At&nbsp;Rabot Energy, data is central to how we accelerate the energy transition. From&nbsp;optimizing&nbsp;smart charging to predicting energy demand and improving customer experiences, data science powers our mission to make green energy easy and accessible for everyone.&nbsp;As a&nbsp;Data Scientist,&nbsp;you’ll&nbsp;help us uncover insights that shape products,&nbsp;optimize&nbsp;decisions, and drive sustainability at scale.&nbsp;You’ll&nbsp;collaborate with engineers, product managers, and designers to turn complex data into simple, actionable outcomes — fueling Rabot’s growth and impact&nbsp;in&nbsp;the green energy ecosystem.&nbsp; What You’ll Do <ul><li>Analyze product and customer data to uncover insights that guide product development and business decisions.</li><li>Partner with product teams to define metrics, track performance, and support data-informed prioritization.</li><li>Design and evaluate&nbsp;A/B tests and experiments&nbsp;to measure feature impact and user behavior.</li><li>Develop&nbsp;data models, dashboards, and reports&nbsp;that make performance transparent and measurable.</li><li>Translate ambiguous business questions into structured, data-driven analyses.</li><li>Collaborate with engineers to build&nbsp;production-grade analytical and optimization models.</li><li>Support the evolution of&nbsp;our&nbsp;smart&nbsp;charging and pricing&nbsp;intelligence,&nbsp;integrating models into operational workflows.</li><li>Communicate findings clearly to both technical and non-technical stakeholders, empowering teams to act on insights.</li></ul> What You Bring Must-Have Experience&nbsp;<div><ul><li>Proficiency in&nbsp;SQL&nbsp;(e.g.&nbsp;BigQuery, PostgreSQL) for analyzing large datasets.</li><li>Strong skills in&nbsp;Python&nbsp;for data analysis, modeling, and writing maintainable, production-quality code.</li><li>Solid understanding of&nbsp;statistical methods,&nbsp;A/B testing, and&nbsp;experiment design.</li><li>Experience analyzing&nbsp;user behavior data&nbsp;to support product and business decisions.</li><li>Ability to structure complex business problems into clear analytical workflows.</li><li>Strong communication&nbsp;skills — you can explain insights and trade-offs to non-technical teammates.</li><li>Fluency in English</li></ul>Nice-to-Haves&nbsp;<ul><li>Experience with&nbsp;time series analysis,&nbsp;forecasting, or&nbsp;energy-related datasets.</li><li>Exposure to&nbsp;optimization&nbsp;modeling,&nbsp;causal inference, or&nbsp;anomaly detection.</li><li>Familiarity with&nbsp;cloud-based data infrastructure&nbsp;(Azure, GCP).</li><li>Degree in Data Science, Statistics, Computer Science, or another quantitative field.</li><li>Experience working in&nbsp;cross-functional product teams&nbsp;(with PMs, engineers, designers).</li><li>German language skills (a plus, not required).</li></ul></div> What Success Looks Like (6–12 Months) <div><ul><li>You’ve developed a deep understanding of Rabot’s products, customers, and data&nbsp;ecosystem.</li><li>You’ve delivered analyses that directly inform&nbsp;product strategy, feature design, or operational efficiency.</li><li>You’ve contributed to improving&nbsp;data accessibility and quality&nbsp;across teams.</li><li>You’ve enhanced our&nbsp;optimization and pricing models, driving&nbsp;measurable&nbsp;impact on smart charging intelligence.</li><li>You’ve become a go-to partner for teams seeking&nbsp;data-driven decision support.</li></ul></div> What It’s Like to Work Here At&nbsp;Rabot Energy, we believe in&nbsp;autonomy, collaboration, and purpose.&nbsp;You’ll&nbsp;join a dynamic, international team that values open communication, shared learning, and ownership over hierarchy.&nbsp;We move fast, experiment often, and make decisions based on data and impact. Everyone has a voice here&nbsp;-&nbsp;and the freedom to shape how we grow.&nbsp; Why Join Rabot Energy <ul><li>Be part of a&nbsp;mission-driven company&nbsp;shaping the future of green energy in Europe</li><li>Work with&nbsp;modern technologies&nbsp;and a talented, passionate engineering team</li><li>100% established and transparent career framework</li><li>Backed by top investors (HV Capital and Bosh),&nbsp;€30m+ in funding</li><li>Enjoy&nbsp;flexible hybrid work, with up to 2 remote days per week</li><li>Access to&nbsp;learning, development, and well-being programs, including Urban Sports Club membership</li><li>Flat hierarchies, quick decisions, and space to make a real impact</li><li>Workation: 2 weeks per year from anywhere in the EU</li><li>Extra holidays on&nbsp;Christmas Eve and New Year’s Eve</li></ul>&nbsp; For all our positions, we are open to providing flexible work arrangements to accommodate the unique needs of each individual. The Details Short video introduction (encouraged) We encourage candidates to submit a short video (2–3 minutes) as part of the application. &nbsp;It helps us understand how you think and communicate—especially important in a senior backend role. Using the box below enter a link to a dropbox or google drive folder where you have stored your video (remember to allow view access for everyone) Video prompts:<ul><li>What attracted you to Rabot Energy and this role?</li><li>Tell us about a data science problem where defining the right question mattered more than the model.</li><li>Share an example of taking ownership beyond your core responsibilities</li></ul>If video isn’t your thing, you can skip this step or request an alternative—no penalty.

Data Scientist (m/w/d)

About the Job

About the Company

RABOT Charge

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