Data Scientist Deutsche Telekom (fmd)

Data Scientist Focus Renewable Energy Role

Summary

We are looking for a business-oriented Senior Data Scientist with strong experience in data transformation and visualization eager to transform complex data into actionable insights. The candidate will mostly work on topics related to (renewable) energy e.g. PV/Solar generation BESS management consumption analyses and other typical automation/digitization tasks within an energy provider. The role focuses on analytical problem solving development of models and dashboards and supporting data-driven decision-making in close collaboration with the business side.

Key Responsibilities

• Conduct exploratory data analyses and derive insights that support decision-making
• Build advanced dashboards and simulation tools based on the requirements by the business side and translate business requirements into suitable technical solutions
• Communicate analytical findings and model results clearly to business and technical stakeholders
• Prepare model-ready datasets in collaboration with data engineers; implement feature engineering using Python and SQL.
• Present insights model results and recommendations in a clear and actionable way to non-technical stakeholders enabling data-driven decision-making.

Qualifications :

• Strong hands-on experience with Python (e.g. pandas NumPy scikit-learn statsmodels).
• Strong SQL skills for data exploration and feature development
• Experience with one or more data visualization tools (Looker Tableau Power BI Grafana).
• Experience working with GCP or any other comparable cloud platform.
• Ability to structure ambiguous problems and translate them into analytical solutions.
• Experience working in cross-functional teams with product engineering and business stakeholders. Nice-to-Have
• Relevant work experience in the energy industry focusing on electricity generation (esp. Renewables) battery storage systems (smart) grid operations or comparable
• Familiarity with ML Ops processes (model monitoring CI/CD for ML drift detection).
• Solid statistical knowledge: hypothesis testing regression sampling experiment design
• Experience with deep learning frameworks (TensorFlow PyTorch).
• Knowledge of big data tools (Spark Beam).

Additional Information :

What do we offer you

• International positive dynamic and motivated work environment.
• Hybrid work model (teleworking/on-site).
• Flexible schedule.
• Continuous training: Preparation for certifications access to Coursera weekly English and German classes...
• Flexible compensation plan: health insurance meal vouchers childcare transport assistance...
• Life and accident insurance.
• More than 26 working days of vacation per year.
• Social fund.
• Free service for specialists (doctors physiotherapists nutritionists psychologists lawyers...)
• 100% of salary in case of sick leave.

And many more advantages of being part of T-Systems!

If you are looking for a new challenge do not hesitate to send us your CV. Join our team!

T-Systems Iberia will only process the CVs of candidates who meet the requirements specified for each offer.

Remote Work :

No

Employment Type :

Full-time