Data Scientist
Stellenbeschreibung
Our mission at Qwello is to revolutionize the charging industry, we are committed to turn the world from combustion to electric. We design, build and operate charging infrastructure for the public space. We excel in simplicity, user focus and engineering excellence. We value diversity of thought, background and approaches and foster a culture of belonging. We understand that the best products are built by excellent teams, not individual superstars. Be part of shaping the E-mobility of the future! ⚡
The goal of the data team is to provide insights from our data to the right people and tools at the right time. As a Data Scientist for our growing DATA team you go one step further and design models that allow us to predict behavior and optimize relevant kpi/metrics. You also build, train and evaluate these models with help of your colleagues in your team. You own your work end to end and therefore you are responsible for the performance of your work in the field across their entire life-span.
You are working with the other engineering teams but also with various business units to understand requirements to create and improve our data-driven solutions. You will be a key player in supporting strategic business and technical decisions and to foster profitability and innovation across the company. You are primarily responsible for innovative models and pipelines. But you are much more than the data person: You enable the next steps in charging the ever growing number of EVs in our cities more efficiently and without adding to grid overload. And by that you actively help to transform the world we live in to be more sustainable and less polluted.
Your Responsibilities 🚀
Your Profile ✨
Your Benefits 🪴
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Typische Aufgaben & Verantwortlichkeiten
- Datenbereinigung und ‑aufbereitung aus verschiedenen Quellen
- Explorative Datenanalyse und Hypothesentests
- Erstellung von Prognosemodellen und Berichten
- Kommunikation von Erkenntnissen an Stakeholder
Gesuchte Fähigkeiten & Skills
- Fähigkeit, mit SQL und NoSQL‑Datenbanken zu arbeiten
- Kenntnisse in Statistik, Machine Learning und BI‑Tools
- Erfahrung mit Python (pandas, scikit‑learn) oder ähnlichen Sprachen
- Starke Kommunikationsfähigkeiten zur Vermittlung komplexer Analysen
💰 Geschätzte Gehaltsspanne
€70.000 – €120.000 pro Jahr
Schätzwert auf Basis vergleichbarer KI-Stellen in Deutschland. Tatsächliches Gehalt kann abweichen.