Role Overview

You will develop advanced machine learning models, analyze complex datasets and create accurate forecasts to help our customers optimize energy management and achieve their sustainability goals.

Key Responsibilities

  • Develop Models: Build and improve machine learning models for load and demand forecasting using various data sources for maximum accuracy.
  • Analyze Data: Pre-process and analyze large datasets to provide high-quality data for forecasting.
  • Innovate: Apply the latest algorithms to improve forecast accuracy and reliability.
  • Collaborate: Work closely with cross-functional teams to integrate models into our SaaS platform and tailor solutions to customer needs.
  • Monitor and Optimize: Continuously monitor model performance and make necessary adjustments for optimal results.

Qualifications

  • Education: Master’s or PhD in Data Science, Statistics, Computer Science or a related field.
  • Skills: Proficient in Python, R and machine learning frameworks Experience in energy forecasting is a plus.
  • Analytical Skills: Strong problem solving skills and ability to work with complex datasets.
  • Teamwork: Effective communicator with a collaborative mindset.

What We Offer

  • Effective Work: Contribute to a sustainable energy future.
  • Growth: Access to learning opportunities and professional development.
  • Innovation: A dynamic and creative work environment.
  • Remuneration: Competitive salary, benefits and flexible working hours.