Enerheads is a rapidly growing startup in the energy sector, bringing together a strong team of professionals. Our product - a platform for electricity trading and aggregation (virtual power plants). As a company, we stand out with our bold approach and dedication to innovation. We cultivate these same values among our employees, encouraging curiosity, experimentation, and passion that go beyond our product. We value people’s growth, both professionally and beyond their field of expertise.
As a Junior/Mid Data Scientist, you will play a crucial role in the development of our product, contributing to the forecasting of solar/wind power generation, energy consumption, and electricity prices, as well as the creation of efficient energy trading algorithms. This position requires strong analytical skills, mathematical intuition, and the ability to communicate data-driven insights clearly. If you like to dig deep, we might be a great match!Key Responsibilities: Collect, clean, and validate data from various internal and external sources. Execute data analysis projects to identify trends, patterns, and insights.
Apply statistical methods and machine learning to analyse data and develop forecasting models for electricity markets. Implement automation and optimization tasks to streamline recurring analyses. Reporting and visualization: Create reports and visualizations to effectively communicate data insights. Collaboration: Work closely with teams from different fields to understand their data-related needs and goals. Technical Requirements: Proven competence coding in Python and using statistical learning/optimization libraries like scipy, statsmodels, xgboost, pytorch, pyomo, kedro. Knowledge of statistics, experience with statistical, or mathematical analysis methods, and machine learning, particularly timeseries forecasting, linear programming or reinforcement learning.
Experience in the energy sector or algorithmic trading, practical knowledge of stochastic optimization techniques, hands-on experience with Azure ML is a significant advantage. Qualifications: A higher education degree in data science, statistics, physics, mathematics, computer science, operations research or a related field, or a relevant certification demonstrating equivalent qualifications. An understanding of Lithuanian language is an advantage. Why join us?A high-performance, collaborative work culture. A flexible hybrid work schedule. The opportunity to work with cutting-edge innovations in a rapidly growing market. A comfortable office. Salary Range: €2100–4000 gross/month.
The final offer will be based on candidate experience and competencies. Place: Vilnius, Lithuania (Hybrid work model)
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