Senior Data Scientist, Infrastructure

Key Responsibilities

• Machine Learning/Data Science: Apply machine learning, data science and statistical methods to advance Verse forecasting capability that is embedded in our software offerings.
• Forecasting Methods: Be responsible for forecasting workflows that inform optimization methods to control battery storage systems, demand response, and other types of electricity market participation.
• Statistical Analysis: Use statistical methods to support decision making under uncertainty.
• Data Analysis and Modeling: Use advanced data analysis techniques, simulations, and energy modeling tools to forecast and provide insights relative to the performance of renewable energy resources, battery storage, and novel technologies.
• Conduct Advanced Research: Lead and contribute to high-impact research focused on energy systems, including renewable energy (solar, wind, etc.), energy storage, and novel technologies (e.g. green hydrogen).
• Collaboration and Teamwork: Work closely across business units and with our customers to share findings and ensure research outcomes are applied to real-world problems.

What We're Looking For (Minimum Qualifications)

• At least 5 years of experience deploying machine learning forecasting algorithms in a production software environment.
• Experience with machine learning, including deep learning, for time series forecasting and quantification of uncertainty.
• At least 2 years of experience applying forecasting methods in the energy industry.
• Proven expertise in machine learning, statistical methods, and forecasting methods applied to energy systems.
• Familiarity with electricity markets (US and global).
• Knowledge of modern, state of the art ML forecasting methods.
• Deep knowledge of statistical methods and applications to real world problems.
• Highly proficient in Python programming and data analysis tools.
• Deep understanding of energy technologies, including solar, wind, battery storage, and grid integration.

What Will Make You Standout (Preferred Qualifications)

• PhD in Engineering, Operations Research, Economics or related field.
• Knowledge of mathematical optimization methods, including stochastic optimization.
• Previous experience deploying ML and/or deep learning models for forecasting to support battery operation.
• Previous experience in power markets forecasting.

What Makes Verse a Great Place to Work?

• Led with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
• Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
• Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
• Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range

Base pay range: $190,000 - $230,000

Benefits and Employee Perks

• Competitive compensation and equity grant at a high-growth start up
• Comprehensive benefits package including medical, dental and vision insurance, and 401k
• Flexible hours and unlimited PTO
• Diverse and inclusive working environment

About the Role

The Role: Verse is seeking an experienced Senior Data Scientist, Infrastructure to join our Data Science Team. In this position, you will play a key role in advancing cutting-edge forecasting algorithms to support the operation of distributed battery storage, demand response, and renewable energy.