Remote Senior Data Scientist - Energy & Grid Optimization

Community Energy Labs; Portland (OR); Remote; USD 155,000 - 185,000; Full time

Job summary

Community Energy Labs is seeking a Senior Data Scientist to lead analytics initiatives, build predictive models, and design scalable ML architectures that improve building energy operations.

You will collaborate with Product, Engineering, and field teams to translate business goals into analytics programs, deploy authoritative data pipelines, and deliver measurable energy savings and carbon reductions across customer sites.

Qualifications

• Advanced degree or equivalent experience in Applied Mathematics, Physics, Mechanical Engineering, Electrical Engineering, Controls, Operations Research, Computer Science, or a related quantitative field.
• 5+ years of experience building production‑grade models, optimization systems, forecasting systems, or control systems.
• 5+ years with container and container orchestration (Docker and Kubernetes).
• 5+ years of experience with data engineering and data pipelines.
• 5+ years of experience with software programming/scripting (such as Python and scientific computing tools such as NumPy, pandas, SciPy, TensorFlow, PyTorch, or similar tools; Unix/Linux type batch scripting; SQL; C / C++).

Responsibilities

• Lead cross‑functional work with Product, Engineering, Operations, Customer Success, National Lab partners and company leadership to articulate data science and analytics priorities.
• Translate business, customer, utility, and product needs into clear analytical requirements, success metrics, and implementation plans.
• Evaluate near, medium and long‑term tradeoffs between analytical rigor, engineering effort, product value, customer impact, and deployment risk. Break down and estimate work.
• Communicate findings, assumptions, risks, and recommendations clearly to technical and non‑technical stakeholders through established company artifacts and cadences.
• Synthesize large‑scale, disparate datasets - including metadata, meter data, device telemetry, settlement data, and logs - to aid in increasing the impact of our products and services.

Skills

Problem solving

Clear communication

Ambiguity tolerance

Cross-functional leadership

Education

Advanced degree in a quantitative field

Tools

Python

NumPy

pandas

SciPy

TensorFlow

PyTorch

SQL

Docker

Kubernetes

Unix/Linux scripting

Job description

Community Energy Labs is seeking a Senior Data Scientist to lead analytics initiatives, build predictive models, and design scalable ML architectures that improve building energy operations.

You will collaborate with Product, Engineering, and field teams to translate business goals into analytics programs, deploy authoritative data pipelines, and deliver measurable energy savings and carbon reductions across customer sites.