Data Scientist

This is a multifaceted role that sits at the intersection of data science and software engineering. The Data Science team is responsible for developing forecasts and optimization models to manage our clients’ renewable and storage assets. Candidates will have a track record of conducting sophisticated analytics and modeling, writing and deploying production-grade code, and having a passion for clean energy. We are open to candidates across a range of experience levels, from early-career to senior. The final job title and level will be determined based on the successful candidate's background and capabilities.

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.