Senior Data Scientist

Key Responsibilities:

• Lead the design, development, and refinement of statistical and machine learning models for load forecasting, flexibility analysis, customer behavior modeling, and energy resource optimization.
• Analyze large-scale datasets including smart meter data, customer information, grid attributes, and external factors to identify patterns and support strategic decision-making.
• Validate models through structured testing methods such as backtesting, cross-validation, and uncertainty analysis.

Requirements:

• 5–8+ years of relevant data science experience after a Bachelor’s degree, with ability to lead complex analytical projects independently.
• Strong expertise in supervised and unsupervised machine learning techniques and statistical modeling approaches.
• Advanced proficiency in Python and SQL with experience building clean, production-ready data solutions.

Benefits:

• Competitive full-time compensation package.
• Fully remote work opportunity for candidates based in the United States or Canada.
• Opportunity to work with large-scale, real-world datasets and advanced machine learning challenges.