Senior Data Scientist, Infrastructure

Verse • San Francisco, CA

10h • $190,000 - $230,000 • Hybrid

About The Position

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. This is a senior role where you will lead the design, development, and deployment of advanced machine learning models powering Verse software offerings related to distributed battery storage. You will work closely with other data science team members and software engineers to deliver production-grade machine learning solutions. Your research will help our customers deploy and operate renewable energy and battery storage resources, and will contribute to the transition toward a low-carbon economy. As a member of the Verse team, you will work in an interdisciplinary and collaborative environment where your expertise in machine learning, data science, and energy systems will be key to delivering impactful solutions.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• Apply machine learning, data science and statistical methods to advance Verse forecasting capability that is embedded in our software offerings.
• Be responsible for forecasting workflows that inform optimization methods to control battery storage systems, demand response, and other types of electricity market participation.
• Use statistical methods to support decision making under uncertainty.
• 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.
• 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).
• Work closely across business units and with our customers to share findings and ensure research outcomes are applied to real-world problems.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree