Senior Data Scientist for Predictive Analysis on Energy Data KE

We are a small team in a big company, mainly adopting agile methodology. We provide Data Science solutions for internal customers inside Deutsche Telekom and our skills and solutions are continually in high demand. Therefore, we want to increase the size of our team with additional technical people that know how to process and analyze data so we can serve and satisfy needs of even more customers.

We are looking for somebody who can work independently, create working solutions quickly, creatively come up with new ideas, but also knows how to use and where to look for existing solutions. Our project members are also situated in Germany, Slovakia or Romania so video conferencing is the daily standard.

Our project members are situated in Germany, Czech Republic, Slovakia and Romania so video conferencing is the daily standard.


What will be your key responsibilities:

Which challenges are expecting you:

• You will be applying machine learning approaches for forecasting and visualizing data in Python to provide business insights for internal customers of the Deutsche Telekom group
• You will be responsible for selecting the right modelling approaches specifically on signal data and data such as energy consumption, building temperatures, weather
• You prepare the training & evaluation pipelines and apply state of the art Machine Learning approaches to improve forecasts for energy consumption, price developments and optimization of energy usage in buildings
• Deploying final models to production, teaching the users how to use them and providing support/maintenance is another challenge in this job
• You will cooperate with the business domain users and actively contribute to customer workshops, meetings, and calls so the ability to explain technical points to business colleagues is a crucial part of this job, as is a consultant’s mindset
• Participation in team brainstorming sessions, code reviews, and pair programming sessions

We work in a HYBRID STYLE of working with an unlimited home office, but twice a week we meet in the office in Košice or Bratislava for meetings.

The published salary is the minimum possible offer.
The starting salary may be higher depending on the extent of fulfillment of the employee's requirements (education, language skills, required practice, personality assumptions and skills).

What experience should you have:

Your skills:

• experience of at least 6 years in software development and data analysis using Python programming language,
• Proven track record in Data Science projects in the last 4 years, preferably specialized on Time Series modeling and forecasting for signal data and energy data
• experience in a variety tools and technologies such as Google BigQuery, Scikit-learn, Keras, PyTorch, scipy, Docker, Kubernetes, Flask or FastAPI, Jupyter notebooks is more than welcome
• Experience in modeling energy consumption scenarios and systems in a simulation software such as Modelica, Dymola, Simulink completes your profile
• BI dashboarding tools like MicroStrategy, Qlik, Tableau, ... knowledge of these is helpful
• flexible and responsive to changing work patterns and demands and preferably the candidate has already successfully applied agile methodology (e.g. Scrum)
• analytical thinker that can develop working solutions quickly and you get things done
• fluent written and spoken English. German is nice to have, but not necessary


What do you get in return:

  • Annual bonus
  • Fully paid meal vouchers
  • Mobile phone also for private use
  • Notebook
  • Discounts for selected Telekom products
  • Supplementary pension saving contribution
  • Cafeteria system of benefits/Multisport card
  • Sick days
  • Sports club & Health days
  • Teambuildings, summer & Christmas party
  • Opportunities for career growth
  • Referral program
  • Flexible working time
  • Employee Assistance Program: Free telephone and e-mail access for our employees and their family members to the following professionals: Psychologist, Consultant, Lawyer, Financial Consultant
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