Data Scientist

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.