Data Scientist II

About the role

Yes Energy delivers real-time market data and electric power trading decision solutions. Over 1,000 market participants use Yes Energy solutions daily. The business is a leader in all aspects of information content collection and management, developing and delivering data and market analytics solutions. Since its inception in 2008, Yes Energy has become a trusted and respected supplier of innovative and reliable solutions focused on the needs of power market analysts, traders, and trade managers. Yes Energy has a team of over 350 amazing professionals in Boulder, CO (HQ); Boston, MA; Chicago, IL; Glendora, CA; Richmond, VA; London, United Kingdom; Auckland, New Zealand; and Bucharest, Romania. Culture Yes Energy has been named one of the Best Places to Work in Colorado, and we have the culture to prove it. At Yes Energy, we care about saying "Yes" to customers. We like to listen, learn, and develop our solutio

Requirements

• 3+ years of professional experience in data science, specifically focused on predictive modeling or forecasting.
• Master's degree in a quantitative field (e.g., Statistics, Mathematics, Data Science, or Computer Science).
• Advanced proficiency in Python and SQL for data manipulation and model development.
• Demonstrated experience with machine learning frameworks and production-grade data pipelines.
• Ability to work effectively in an operational capacity, managing real-time model performance and troubleshooting.
• Preferred Qualifications & Key Competencies
• Problem Solving: Independently solves moderately complex problems by pinpointing root causes and proposing scalable, well-reasoned solutions.
• Systems Thinking: Takes a holistic view of how data, models, and technology interact within the forecasting ecosystem.
• Econometrics & Statistics: Applies rigorous mathematical techniques to analyze economic data and generate precise forecasts.
• Artificial Intelligence: Skill in selecting and applying appropriate AI models to enhance decision-making and create value.
• Effective Communication: Translates complex data findings into actionable insights for both technical and non-technical audiences.
• Prioritization: Balances the demands of daily operations with long-term research and development goals.
• Programming Languages: Familiarity with programming languages such as Fortran and C# is considered a plus
• Energy Industry Knowledge: (Preferred) Experience with power markets or grid infrastructure is highly beneficial.
• At Yes Energy, we value connecting directly with candidates. We kindly ask that third-party recruiters and agencies not submit resumes, as we are not open to external recruiting partnerships.
• ABOUT YES ENERGY

Additional Information

Join the Market Leader in Electric Power Data and Analytics Solutions The electrical grid is the largest and most complicated machine ever built. Yes Energy's industry-leading electric power trading analytics software provides real-time visibility into the massive amount of data generated by the North American electrical grid daily. Our unique and innovative view of the data informs real-time trading decisions and mid-to-long-term investment decisions that keep utility prices low, support the energy transition, and keep the grid running. It's both challenging work and work with a purpose. Be a part of our successful, growing business during international transformation. Position Summary This role is on the Forecasting Data Science team and combines research with productized model delivery in a forecasting SaaS environment. Based in our Bucharest office, you will partner closely with Forecast Analysts in an operational capacity-managing daily model configurations, runtime monitoring, and exception handling-alongside Product and Engineering teams. You will ensure models are accurate, reliable, and usable in production-grade services, bridging the gap between data exploration and robust operational systems. Position Details Salary Range: Net 14.000 - 18.000 RON/month Location: Bucharest, Romania Full-time Hybrid - 2 days in the office Reporting to: Engineering Manager Primary Responsibilities Build and scale Python-based libraries and pipelines for data extraction, feature engineering, and supervised learning. Support daily forecasting operations, including runtime monitoring, exception handling, and model configuration. Collaborate with Engineering to ensure robust handoff of research models into production systems. Independently tackle moderately complex problems using data patterns to pinpoint root causes. Design and implement scalable, well-reasoned solutions that consider the business impact on power market participants. Participate in research and development to improve model accuracy in a forecasting SaaS environment. Communicate technical workflows and performance metrics clearly to stakeholders and cross-functional partners. Document model methodologies and operational workflows to maintain high standards of system reliability.

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