Data Scientist (m/f/d)
Data Scientist (m/f/d)
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Job Description
1KOMMA5
We are looking for you as an addition to our tech-team in Berlin Munich or Hamburg. 1KOMMA5 is building Germanys largest one-stop-shop for sale installation and services related to solar heat pumps electricity and charging infrastructure. And they are all connected! Be a part of our mission!
Become a part of our mission and learn about our Product & Tech team!
Deine Position
As a Data Scientist you will be a core member of our cross-functional team responsible for designing and implementing advanced data-driven solutions to accelerate the energy transition. Your work will focus on complex time series data building robust data pipelines and leveraging your expertise in a dynamic environment. Youll directly impact our products and services helping to shape the future of the energy sector.
Key responsibilities include but are not limited to:
- Develop improve and deploy advanced machine learning models mainly for forecasting timeseries data but not limited to
- Collaborate on designing and implementing scalable data science solutions on cloud infrastructure (Google Cloud Platform) to ensure high performance reliability and security
- Design develop and maintain robust data pipelines for ingesting transforming and processing large-scale time series data
- Apply advanced analytical techniques to extract actionable insights from complex datasets supporting strategic decisions for product development and business growth
- Collaborate with engineers and product managers to translate business needs into technical requirements and deliver end-to-end data products
- Promote best practices in data science including code quality testing and documentationTechnologies you will work with include:
- Python and SQL
- Data analysis and machine learning libraries (pandas numpy scikit-learn)
- Google Cloud Platform (GCP) and Terramate/Terraform
- SQLMesh and Looker
- Numerical optimization and solvers (Pyomo)
Dein Profil
The successful candidate will have:
- You have 3 years of experience as a data scientist or in a similar role with a proven track record of delivering end-to-end data projects
- You have deep expertise in Python and SQL and are proficient with data analysis and machine learning libraries (e.g. pandas numpy scikit-learn)
- You have extensive experience with time series data including feature engineering model selection and validation
- You are a master of dynamic environments and thrive on solving complex real-world problems
- You have hands-on experience with cloud platforms particularly with services for data processing and machine learning (e.g. Google Cloud Platform)
- You are proficient in building and maintaining production-level ML and data pipelines
- You are an excellent communicator and thrive in a collaborative agile settingBonus points for:
- Experience with numerical optimization and solvers (e.g. Pyomo Gurobi or similar) is a significant plus
- Knowledge of energy markets and renewable energy systems
- Experience with data visualization tools like LookerWe are an ambitious and dynamic company with a talented team. We require our engineers to be imaginative enthusiastic and willing to tackle new challenges as we strive to provide everyone with renewable energy technologies.
Benefits
- You are part of a dynamic team with people who prove every day that they can make things happen and move companies forward with great positive impact
- You move in flat hierarchies and have short decision-making paths. You can learn a lot quickly and get involved at different levels
- You will be welcomed by a friendly and familiar team
- You are part of the energy transition and recognize in your daily work what purpose it serves
- You can work in one of our offices in Hamburg Berlin or Munich
- You create a healthy balance alongside your work and enjoy all the benefits of the EGYM Wellpass
- Benefits and discounts are yours with Futurebens
- Whether city bike or e-bike - be flexible with our job bike leasing and do something good for the environment at the same time
Employment Type
Full Time
