Senior Data Scientist, PV & Diagnostics

Senior Data Scientist, PV Performance & Diagnostics

About Stem - Driven by human and artificial intelligence – Stem is unlocking energy intelligence.

Stem is a global leader reimagining technology to support the energy transition. Turning complexity into clarity, and potential into performance.
We help asset owners, operators and stakeholders benefit from the full value of their energy portfolio by enabling the intelligent development, deployment, and operation of clean energy assets. Our integrated software suite, Power Track, is the industry standard and best-in-class for asset monitoring, supported by professional and managed services, under one roof. Meant to tackle challenges as seamlessly as possible, Stem shows the information needed clearly and accurately and helps harness raw data to inform actionable insight.

With global projects managed in 55 countries – from Germany to Japan and across North America – customers have relied on Stem for nearly 20 years to maximize the value of their clean energy projects.

Stem’s culture embodies diversity & inclusion beyond the traditional facets of gender, ethnicity, age, disabilities, and sexual orientation to include experience, personality, communication, work styles, and more. At our core, Stem is at the momentous intersection of clean energy and software technology where diverse ideas, experiences, and professional skills converge to make the inclusive culture we have today. Together, we are turning old school thoughts about software and energy into progressive, collaborative, and innovative solutions.

By joining our team, you will be collaborating with data scientists, energy experts, skilled salespeople, thought-leading executives and more from a range of backgrounds. This intersection of ideas, beliefs, and skills is what makes us unique enough to lead the world’s largest network of digitally connected energy storage systems.

What We Are Looking For / Role Overview

Stem is seeking a Senior Data Scientist with strong hands‑on experience in solar PV performance modeling to join our team. This role is focused on advancing performance analytics for solar PV and battery energy storage within Power Track, Stem's core asset management platform. You will be responsible for supporting and standardizing the physics‑based performance models, underperformance and loss reporting, and expected‑energy forecasting that our customers rely on.

A solid foundation in statistics and machine learning (ML) is expected, with room to grow into more advanced ML‑based techniques as your role here develops.

• Lead the design, implementation, and continuous improvement of physics‑based performance models for solar PV and battery energy storage assets within Power Track, including the underlying data configuration and validation that keep model inputs accurate and consistent across heterogeneous site layouts
• Own the accuracy and defensibility of performance and losses/underperformance reporting (e.g., downtime, curtailment, soiling, and other loss categories) used for customer reporting and decision‑making
• Develop and contribute to time‑series forecasting models that support expected‑energy prediction and inform downstream merchant operations and storage/hybrid use cases
• Apply and contribute to evaluation frameworks — running structured experiments, validating model accuracy against known or proxy ground truth, and producing the technical documentation, validation reports, and benchmarks that communicate modeling assumptions and findings to technical and non‑technical stakeholders
• Partner with software engineers and data engineers to integrate performance models and configuration tooling into production systems that are scalable, testable, and maintainable
• Collaborate with the team's machine‑learning‑based fault detection efforts, connecting detected anomalies to the underperformance detection and loss categorization work this role owns, and aligning on shared data and system interfaces — with an eye toward this role expanding into ML‑driven diagnostics as that capability matures
• Exercise independent judgment on prioritization and technical approach for cross‑functional projects…