Data Scientist

Data Scientist

We are looking for a brilliant, driven and ambitious ML data scientist who will help us crack the enigma of European electrical energy market forecasting. You will join a data science project that has been running for a couple of years to help improve cross-border supply and demand forecasting accuracy by either tuning existing models or inventing a new paradigm. You will inherit highly organized data sets to reevaluate features importance and will study the market environment to infer new data to help improve model accuracy.

Your main challenge will be forecasting the sizeable daily impact of wind and solar energy production on pan-European energy prices that are otherwise driven by non-renewable sources. This challenge requires passion for studying energy production and consumption economics and drive to extract from data what other smart competitors are missing.

You will be provided with pre-processed EU-wide large historical datasets of past electricity loads, hourly prices, daily weather statistics, energy commodity prices, and macro-economic indicators. In addition, we will share with you neatly organized raw data, visualized in Tableau that is the result of multiple years of research into electricity price prediction.

We’re looking for a passionate learner who will bring added value through exceptional problem solving, innovation and creativity. 

Responsibilities:

• You will be part of a team responsible for reshaping the 1 trillion EUR European energy markets by taking prediction far beyond what humans are capable of today.
• Participate in daily scrum meetings with weekly sprints if needed.
• Promote a culture of creative problem solving and getting the job done on time to meet deadlines with short time constraints.

Required Knowledge, Skills, and Abilities:

• 3+ years of experience in a similar role focused on data analysis & machine learning.
• Software development in Python: Strong scientific Python skills using pandas, scikit-learn, and statsmodels, as well as a strong understanding of model deployment patterns.
• Strong understanding of analytical & data science requirements for business decision-making.
• Highly motivated, innovative, proactive, can-do attitude, team player.

Preferred Candidate may have:

• Experience in energy trading or financial trading fields.
• Degree in data or computer science, IT, engineering, statistics, mathematics or other related field.
• Publication / software product record demonstrating innovative research.

Language:

Very good written technical English (good IT vocabulary knowledge is a must for the purpose of process documentation). You may take time to polish your spoken English.

Benefits:

• Competitive salary package, including paid sick leave and vacations.
• Remote or on-site work (full-time engagement preferred).
• Working with a great team with exceptional delivery.
• Potential meaningful impact on European electrical energy production market.
• Performance bonuses.