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Data Scientist - Power Trading - Remote

Posted 1 week ago
Data Analysis
Full Time
Worldwide

Overview

We are looking for a motivated Data Scientist – Power Trading to support us in the green revolution of the electricity market as a digital electricity provider.

In Short

  • Build and maintain forecasting models for energy consumption and prices.
  • Manage the entire model lifecycle from development to monitoring.
  • Support data-driven decision-making in trading and procurement.
  • Develop scalable forecasting models for electricity consumption and generation.
  • Contribute to the development of our hedging and trading platform.

Requirements

  • Master’s degree in a quantitative discipline with 2+ years of experience.
  • Strong foundation in applied mathematics and statistics.
  • Proficiency in machine learning and time series analysis.
  • Experience deploying ML models to production.
  • Strong software engineering skills in Python.
  • Willingness to learn about trading and risk management.
  • Excellent communication skills in English.
  • Strong team player in a dynamic environment.

Benefits

  • Work in a dynamic, open environment.
  • Transparent communication and regular feedback.
  • Collaborative team spirit with shared celebrations.
  • Flexible working environment, including home office options.
  • Opportunities for personal and professional development.
Ostrom logo

Ostrom

Ostrom is a forward-thinking company dedicated to building a scalable renewable energy platform that leverages cutting-edge technologies. With a focus on environmental impact, Ostrom enables customers to significantly reduce their carbon footprint by switching to their services. The company fosters a flexible and inclusive work environment, offering a hybrid work model and a dog-friendly office in Berlin. Ostrom values personal development and maintains a transparent, trust-based team culture where every voice is heard. They provide various benefits, including relocation support, a company pension scheme, and opportunities for team bonding.

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