Senior Data Scientist

• Understanding data needs by speaking to our commercial team and customers directly, as well as monitoring changes in regulation

• Identifying relevant data sources and deriving specifications for the corresponding ETL pipeline

• Managing and mentoring a team of data scientists and analysts with different experience levels

• Reviewing python scripts to process the data in an ETL pipeline

• Building ETL pipelines yourself for large, complex or scattered data

• Tracking and managing our geospatial data catalogue to ensure our customers make the best ofit

• Collaborating with our data engineering and infrastructure team to ensure a high degree of quality and automation across ETL pipelines

• Proactively suggesting and discussing the direction our product will take to win the market

• Experience in data relevant for identifying and evaluating sites for renewable energy projects

• Experience inprocessing complex geospatial data with automated ETL pipelines

• Hands-on experience with data processing in python (Geopandas, Shapely, GeoPy, SciPy)

• Experience in geospatial software (QGIS, ArcGIS) and AWS is a bonus

• Experience in managing teams of up to 5 data scientists and analysts

• Passion for renewable energy project development

• Excellent verbal and written communication skills in English and German

• Proactive personality with a pragmatic mindset as well as an eye for detail

• Work on critical challenges of our time: energy independence and climate change mitigation

• Receive a competitive salary reflecting your level of experience

• Experience a dynamic work environment with high levels of team interaction

• Expand your skills by working with innovative data processing technologies

• Choose your preferred work setup: working from home or our office in Berlin

• Enjoy regular team events and 30 days of holidays

• Benefit from a sponsored Deutschlandticket or Urban Sports membership