Job ID: J2024972
Tasks
You develop predictive models and advanced analytics to gain valuable insights from large data sets.
You create automated reports that monitor the performance of our AI systems and make the added value created transparent to stakeholders.
You develop innovative data products and visualizations that support data-based decisions at all organizational levels.
You extensively test and validate AI models to ensure reliability and accuracy under a wide range of conditions.
You communicate technical results and recommendations clearly to non-technical stakeholders.
+++ english version
You develop predictive models and advanced analytics to uncover valuable insights from rich data sets, including customer usage patterns, customer experience metrics, grid operations, and asset performance.
You design and create automated reports that monitor the performance of our AI systems and provide value measurements for stakeholders.
You prototype novel data products and visualizations to support data-driven decision-making across all organizational levels.
You conduct rigorous testing and validation of AI models to ensure reliability and accuracy under various conditions.
You communicate technical findings and recommendations to non-technical stakeholders effectively.
Requirements
You have completed a master's degree in a quantitative field (e.g. statistics, computer science, operations research) or a comparable qualification.
Ideally, you have at least 2 years of practical experience as a data scientist or in a similar role.
You have very good knowledge of Python and Azure Cloud Services.
You have already gained experience with reporting tools such as Tableau or you have the motivation to learn them quickly.
You are passionate about statistics and machine learning.
You feel confident communicating in English so you can work effectively in an international environment.
You have the ability to translate complex technical concepts into actionable business recommendations.
+++ english version
A completed Master's degree in a quantitative field (eg, statistics, computer science, operations research).
Ideally 2+ years of hands-on experience as a data scientist or similar role.
Proficiency in Python and Azure cloud services.
Experience with Tableau or similar reporting tools is desirable.
Strong background in statistics and machine learning.
Excellent English language skills, both spoken and written, to work effectively in an international environment.
Ability to translate complex technical concepts into actionable business recommendations.
Our top priority is that all employees can live up to their potential. To achieve this, we offer them an environment that opens up a wide range of opportunities. A nice side effect: we receive seals that confirm this.
Then don't hesitate and send us your application. Simply use our online application form.
Feel free to contact me!
recruiter
enercity is one of the 10 largest and most sustainable energy service providers in Germany. At enercity AG and enercity Netz GmbH you can help shape the energy transition. We are in the process of transformation and our corporate culture is changing enormously. If you want a change, then you've come to the right place! Decentralization and digitization - we are always at the forefront. Did you know already? Private customers already get 100% green electricity from us today – without any surcharge. Therefore to us! In order to actively shape the energy transition, we are increasingly focusing on new business areas such as electromobility, energy efficiency and smart infrastructure. This requires your pioneering ideas and commitment! The basis for successful action lies in the motivation of our employees. Your advantages (excerpt): - a variety of flexible working time models as full-time or part-time jobs - mobile working - active health management (new: digital health check via the Bodylab app and Weight Watchers at work) - "Company Kids Energiezwerge" crèche for children from 2 to 36 months in cooperation with the pme family service As drivers of the digital energy world of tomorrow, we have big plans. You can find exciting tasks and job offers at: https://www.enercity.de/karriere You are also welcome to visit us on social media: Facebook: https://www.facebook.com/enercity/ Instagram: https://www.instagram.com/enercity_ag/ Twitter: https://twitter.com/enercity YouTube: https://www.youtube.com/c/enercityAG Xing: https://www.xing.com/pages/enercity kununu: https://www.kununu.com/de/enercity Imprint: