Senior Data Scientist - Energy Forecasting

Senior Data Scientist – Energy Forecasting
Austin, TX. Hybrid
Competitive Salary + Excellent Benefits
  
Our client is seeking a Senior Data Scientist to lead forecasting initiatives in the energy sector. This role involves developing advanced predictive models, optimizing decision-making in power markets, and mentoring a talented team. If you have expertise in probabilistic forecasting and a strong understanding of energy markets, we’d love to hear from you!
  
Data Scientist responsibilities:  

• Lead and mentor a team – Develop a high-performing forecasting team, provide technical guidance, and foster professional growth.
• Develop forecasting models – Design and refine probabilistic models to improve market predictions and decision-making.
• Ensure model accuracy – Maintain high standards for forecast reliability, calibration, and continuous improvement.
• Integrate scalable solutions – Work with MLOps and DevOps teams to deploy and manage machine learning models in production.
• Collaborate with stakeholders – Partner with trading, operations, and commercial teams to align forecasts with business strategies.
• Enhance data-driven insights – Analyze market trends, incorporate new data sources, and refine methodologies for better predictions.
• Drive research and innovation – Explore cutting-edge forecasting techniques and collaborate with academic and industry partners.
• Manage risk and quality control – Implement validation processes to monitor and mitigate forecasting errors.

Data Scientist requirements:  

• Expertise in forecasting and machine learning – Strong background in probabilistic modeling, time series analysis, and predictive analytics.
• Power market knowledge – Understanding of grid operations, supply-demand dynamics, and pricing mechanisms.
• Technical leadership experience – Proven ability to lead teams and drive technical excellence.
• Proficiency in Python and data science tools – Skilled in libraries like Pandas, NumPy, PyTorch, and Scikit-learn.
• Experience in large-scale model deployment – Knowledge of MLOps, DevOps, and cloud-based solutions.
• Effective communication skills – Ability to explain complex statistical concepts to both technical and non-technical audiences.
• Strong problem-solving mindset – Ability to identify predictive signals and continuously improve forecasting methodologies.
• Location flexibility – Based in (or willing to relocate to) Austin, TX, with at least two days in the office.
• Experience in ERCOT market forecasting, nodal pricing, and settlement. (Advantageous)
• Familiarity with US ISOs (PJM, MISO, CAISO, SPP). (Advantageous)
• Background in weather impact analysis on energy markets. (Advantageous)

Data Scientist rewards:  

• Competitive base salary
• Generous PTO
• Professional development
• Comprehensive medical, dental, and vision coverage
• Flexible hybrid working (3 days WFH per week)

Certus Recruitment Group is a well-established and experienced specialist consultancy providing sales, marketing, and IT recruitment services. We serve the technology sector across North America, the UK, Europe, and Australia.
  
If you are ready to take your career to the next level and make a significant impact, apply now!