Company Description
At Enpal, we are pursuing the dream of building the largest renewable community in Europe. How do we make that happen? Enpal finally simplifies providing solar energy: We rent out solar systems, electricity storage, and wall boxes at an all-inclusive rate, supplemented by a favorable green electricity tariff; all intelligently connected to form an integrated overall solution. True to the motto "digital, decentralized, and 100% renewable", our heart beats both for the rapid development of a company and for combating the greatest challenge of our generation - climate change.
Our highly ambitious team around serial entrepreneur Mario Kohle is supported by experienced investors like Alexander Samwer (Picus Capital) and Lukasz Gadowski (Team Europe, Delivery Hero). In addition, we were able to bring Princeville Climate Technology (advised and funded among others by Leonardo DiCaprio) and Peter Rive (SolarCity) on board. As the first green unicorn in Germany, we see it as our duty to continuously drive forward our mission of green energy for all. Be part of our success story and change the world by joining us!
Job Description
We are looking for a Data Scientist within our VPP (Virtual Power Plant) Data Science team to make means of our data, creating precise forecasting models and predict energy flows.
You will…
- build statistical and machine-learning based time-series forecasting
- perform analysis on large sets of data and extract impactful insights.
- apply data science to improve and optimize electricity consumption
- use external insights such as weather data to build and improve precise forecasting models
- translate business requirements into data science projects
- co-operate with cross-functional teams of engineers, data scientists, data engineers, user researchers and product managers
Qualifications
You have…
- at least Master degree in statistics, mathematics, physics, computer science, engineering or other related fields
- at least 3 years experience in the field of Data (Data Science, ML Engineer etc.)
- extensive experience doing quantitative analysis using programming languages (e.g., Python) or statistical/mathematical software (e.g., R, MATLAB)
- experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering, and regression analysis
- experience with energy modelling, development of ML models, deploying data pipelines or product development is a plus
- been always interested in energy industry Experience in the energy industry
- experience in working in a dynamic environment
- very good communication skills in English, German is a plus
Additional Information
We're offering
- The chance to be part of a fast-growing and future-oriented startup: we are one of the biggest players in the solar business.
- Help to make the world a bit better: we are all about green energy.
- Work with the best in the industry and grow with us: there’s plenty of room for your ideas.
- A hybrid work model, the ability to come to our Berlin office every now and then for in person discussions and events, or to be there all the time - you decide.
At Enpal, we are proud of the diversity of our team. No decisions are made based on skin color, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability, or age, either during recruitment or employment. We strongly encourage women, neurodivergent people, people of color, and LGBTQ(+) people to apply. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind