Remote Data Scientist - Power Trading (m/f/d)

at Ostrom

Posted 2 days ago 2 applied

Description:

  • We are seeking a motivated Data Scientist – Power Trading (m/f/d) to support the green revolution of the electricity market as a digital electricity provider.
  • The role is part of our Finance team, contributing to the ongoing development and continuous optimization of our power sourcing, hedging, and trading processes.
  • Key responsibilities include building and maintaining forecasting models for energy consumption, energy prices, and related variables.
  • The candidate will manage the entire model lifecycle, from development and deployment on AWS to monitoring and regular retraining.
  • The position supports data-driven decision-making in trading and procurement through robust and scalable models.
  • The Data Scientist will work closely with colleagues across the business to ensure that energy sourcing strategies remain data-driven, adaptive, and aligned with market dynamics.
  • Tasks include developing scalable forecasting models for household electricity consumption, PV generation, and EV charging flexibility, and supporting risk management and algorithmic trading.

Requirements:

  • A Master’s degree in a highly quantitative discipline and at least 2 years of industry experience in forecasting are required.
  • A strong foundation in applied mathematics, including statistics, stochastic processes, linear algebra, (numerical) analysis, and optimization is necessary.
  • Proficiency in machine learning, forecasting, and time series analysis is essential.
  • A solid understanding of MLOps and data engineering, including experience deploying ML models to production, is required.
  • Strong software engineering skills and the ability to write production-level Python code with automated testing are necessary.
  • A basic understanding of trading and risk management, or a willingness to acquire this knowledge, is important to evaluate the business impact of models.
  • A hands-on mentality and a self-driven, solution-oriented approach to complex problems are essential.
  • Excellent communication skills in English (B2–C1), both written and spoken, are required.
  • The candidate should be a strong team player who thrives in a young, dynamic environment.

Benefits:

  • The company offers a dynamic, open environment where employees can be themselves, take on challenges, and grow both personally and professionally.
  • Transparent communication is emphasized, with weekly town halls, quarterly updates, and regular retrospectives.
  • Collaboration is encouraged, with shared celebrations from Friday happy hours to team trips and company events.
  • Employees have the flexibility to work from the office, home, or any location that suits them best.
  • Opportunities for personal development are provided through individual learning paths, learning budgets, and regular knowledge-sharing sessions.