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Staff Data Scientist - Forecasting

Job Summary

Geli is looking for an experienced Data Scientist with software development experience in Python to join our Data Science team. Your primary responsibility will be to lead the development of our time series forecasting models for solar and energy consumption using machine learning techniques, but you will also help develop new forecasting models as various needs arise (eg: prototyping forecasting wholesale prices for a new market). Our data analytics and cloud platforms use state-of-the-art technologies to set you up for success. As data science is at the core of Geli, you will have plenty of opportunities to contribute to the software development of our other energy storage products.


You will work closely with software, analytics, and optimization engineers focusing on these topics:

  • Lead the development of our time series forecasting algorithms, which includes:
    • Feature engineering
    • Prototyping new algorithms
    • Benchmarking performance across various load profiles
    • Integrating new forecasting algorithms into our production code base with robust test coverage
  • Collaborate with the rest of the team to assess how forecasts can be adjusted for various economic objectives.
  • Proactively identify opportunities within Geli that can benefit from data science analysis and present those findings.
  • Work collaboratively in a diverse environment. We commit to reaching better decisions by respecting opinions and working through disagreements.
  • Gain in depth experience in an exciting industry as you work with storage sizing, energy financial models, energy tariffs, storage controls & monitoring.

Your Profile

We are looking for a motivated self-starter that thrives in a dynamic start-up environment. A strong work ethic with excellent problem solving skills are equally important as being a team player who enjoys to learn and teach.  

These skills will additionally help you to excel in the position:

  • BS or higher degree with 2+ years of relevant experience
  • Knowledge of machine learning algorithms (time series forecasting, clustering algorithms, probabilistic models, supervised and unsupervised learning)
  • Experience with time series analysis and forecasting (LSTM, ARIMA, GARCH)
  • Advanced Python skills, as well as familiarity with pandas and scikit-learn
  • Software design experience and ability to write clean, maintainable and shippable production code


Bonus Points

Experience in some of these fields will give you a jump start:

  • PyTorch, Keras, Tensorflow
  • Probabilistic models for electricity consumption or generation (eg: wind or solar)
  • Forecasting wholesale energy market prices
  • Forecasting system peaks or demand response events

As a member of the team you will have significant influence on the direction of our technology stack.


  • Competitive salary commensurate with experience
  • 401K with company matching
  • Medical, Dental, Vision, Life Insurance
  • Flexible vacation policy
  • Commuter reimbursement
  • Convenient SOMA location on Mission St in downtown San Francisco (short walk to Montgomery Street BART)

Work Environment

  • Make a difference: join a group of people who are passionate about renewable energy
  • Have an impact: the company is still small enough that everyone’s contribution has a significant impact to the success of the company
  • There are opportunities to lead teams, projects, and feature development.
  • Casual working environment: there’s no need to dress up.
  • Work collaboratively in a diverse environment. We commit to reaching better decisions by respecting opinions and working through disagreements.


We value the insights that a diverse team can bring. We encourage applications from members of groups that have been traditionally underrepresented in tech. Geli is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

About Geli

Geli is a wholly owned subsidiary of Q CELLS, one of the world’s largest and most recognized photovoltaic manufacturers for its high-performance, high-quality solar cells and modules.

Imagine a world where there is less reliance on non-renewable power, where you source your electricity from your neighbors rather than from power stations hundreds of miles away and software makes the best possible use of the solar, wind and battery storage available. This is our vision -  the "Internet of Energy” (IoEn). Geli provides software and business solutions to design, connect, and operate energy storage systems ranging in size from residential to utility-scale, as well as grid-tied, microgrid, and off-grid systems.

We are looking for enthusiastic engineers that are not only fluent in technology, but also share our vision of a world running on 100% renewable energy.

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