Staff Data Scientist

Geli; United States; On-site; USD 160,000 - 185,000; Full time

Job summary

Geli is seeking an experienced Staff Data Scientist to join our Grid & Energy Analytics team. In this role, you will lead the implementation of enterprise-grade microservices for optimizing and simulating energy assets in U.S. markets. Candidates should possess at least 7 years of software development experience and proficiency in Python and Kubernetes.

The ideal candidate will thrive in a fast-paced environment, ensuring system performance and compliance with market requirements while mentoring junior engineers.

Qualifications

• 7+ years of software development experience, ideally in energy, renewables, or grid-tech sectors.
• Proven experience delivering production-grade software for DERs, energy storage, or grid market participation.
• Strong foundation in wholesale market operations and optimization techniques.

Responsibilities

• Work closely with Technical Lead to improve microservices including optimization, simulation, and market emulation.
• Drive microservice benchmarking, develop operations metrics, and continuously improve system performance using data-driven insights.
• Contribute to the next-generation merchant optimization platform.

Skills

Software development

Python

Kubernetes

Microservices architecture

Collaboration

Communication

Data-driven insights

Education

Bachelor’s or Master’s in Computer Science, Engineering, Energy Systems

Tools

Python

Azure cloud stack

Job description

Staff Data Scientist

Location: San Francisco, CA, United States

Location Type: On-site

Salary Range: 160000 - 185000 USD Annually

We are seeking an experienced Staff Data Scientist to join our Grid & Energy Analytics team within G&ES. In this role, you will lead the implementation of enterprise-grade microservices that support the real-time optimization and simulation of diverse energy assets participating in U.S. wholesale electricity markets including CAISO, ERCOT, NYISO, ISO-NE, and PJM.

This position will preferably be based out of our Santa Clara, San Francisco, Houston, Seattle, or Atlanta offices.

RESPONSIBILITIES

• Work closely with Technical Lead to improve microservices including optimization, simulation, and market emulation.
• Drive microservice benchmarking, develop operations metrics, and continuously improve system performance using data‑driven insights.
• Own significant software components, including documentation and testing suites, training junior engineers where appropriate.
• Contribute to the next‑generation merchant optimization platform, advising on architectural choices, design & implementation.
• Support the Product Manager and Technical Leads in interpreting market requirements into technical solutions, managing work scope, and ensuring timely delivery.
• Serve as a subject matter expert for at least one U.S. ISO/RTO, and mentor engineering team on compliance, settlement, and operational nuances.
• Provide Level 3 support for production issues and actively contribute to operational robustness and scalability.

REQUIRED QUALIFICATIONS

• Bachelor’s or Master’s in Computer Science, Engineering, Energy Systems, or related field.
• 7+ years of software development experience, ideally in energy, renewables, or grid‑tech sectors.
• Proven experience delivering production‑grade software for DERs, energy storage, or grid market participation.
• Strong foundation in wholesale market operations and optimization techniques.
• Proficiency in Python, Kubernetes, microservices architecture, and working with cloud‑native deployments.
• Exceptional collaboration and communication skills, with the ability to lead cross‑functional initiatives in fast‑paced environments.
• Experience interacting with real‑time systems, equipment‑level controls, or forecasting models for energy assets.
• Travel may be required up to 10%, based on business needs.

PREFERRED QUALIFICATIONS

• Ph.D. in Operations Research, Engineering, Energy Systems, or related field.
• Deep knowledge of ISO/RTO market participation frameworks, especially CAISO, ERCOT, NYISO, ISO-NE, and PJM.
• Hands‑on experience with Azure cloud stack, including deployment pipelines and monitoring tools.
• Experience in CI/CD pipelines, version control (Git), and modern testing frameworks.
• Experience using Julia for optimization problem formulation.