Data Scientist

Key Responsibilities:

• Build price forecasts and peak load models using statistical and machine learning methods.
• Work with large datasets (price, generation, load, weather) across multiple ISO/RTO markets.
• Design and implement dispatch and optimization algorithms and market offer strategies for battery energy storage systems (BESS) to maximize economic performance while considering asset specifications, market constraints, and regulatory rules.
• Develop simulation environments to test the efficacy of various market participation strategies.
• Deploy and validate predictive models and workflows in production-grade code.
• Develop data visualizations and dashboards to summarize model outputs and market trends.
• Advise on the Company’s needs for developing new data science and analytical capabilities.
• Establish key performance metrics related to asset optimization.
• Collaborate closely with SYSO teams including Engineering, Operations, and Energy Markets teams to integrate data insights with real-time operations and market strategies.
• Conduct ad-hoc analyses to support business development and market strategies decisions.

Required Qualifications/Skills/Education:

• BA/BS in Data Science, Computer Science, or an equivalent technical or mathematical field.
• Relevant professional experience – candidates ranging from early-career to senior will be considered.
• Strong analytical and coding skills with proficiency in Python or other analytical tools.
• Ability to collaborate effectively and thrive working in a variety of capacities across the company.
• Strong problem-solving and organizational skills.

Desired Qualifications/Skills/Education:

• Masters or PhD in Data Science, CS, or an equivalent technical or mathematical field.
• Familiarity with cloud computing ecosystems such as AWS, and data science frameworks such as Metaflow, Databricks or Kubeflow.
• Experience with statistical analysis and data visualizations using R.
• Experience formulating and solving mixed-integer linear programming (MILP) optimizations.
• Direct experience working in the energy industry.
• Demonstrated understanding of wholesale power market mechanics.
• Familiarity with renewable energy or battery storage development and operations.