Forecasting Engineer
San Francisco, CA /
Growing Energy Labs, Inc (Geli) – Technology - Data Science /
Full-time (Hybrid)
/ Hybrid
This is a San Francisco based position that is currently remote and will have a hybrid schedule once we return to office. We are open to candidates willing to relocate to the San Francisco Bay Area.
ABOUT GELI
Geli (Growing Energy Labs, Inc.) 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. Geli’s suite of products creates an ecosystem where project developers, OEMs, financiers, and project operators can deploy advanced energy projects using a seamless hardware-agnostic software platform.
Geli is a subsidiary of Hanwha Q CELLS, one of the world’s largest photovoltaic manufacturers most recognized for its high-performance, high-quality solar cells and modules.
OUR VISION
Geli is committed to helping make the planet a cleaner, better place to live, both with our software products and through our everyday actions.
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.
We are looking for enthusiastic colleagues that are not only fluent in technology, but also share our vision of a world running on 100% renewable energy.
ABOUT THE JOB
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. As a member of the team you will have significant influence on the direction of our technology stack.
We are looking for a motivated self-starter that thrives in a dynamic environment. Having a strong work ethic with excellent problem-solving skills is equally important as being a team player who enjoys learning and teaching.
You will work closely with software, analytics, and optimization engineers focusing on the duties listed in "Primary Responsibilities".
PRIMARY RESPONSIBILITIES
- 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.
MINIMUM QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- 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
BENEFITS OF WORKING AT GELI
- Competitive salary commensurate with experience
- 401K with company matching
- Medical, Dental, Vision, Life Insurance
- Flexible vacation policy
- Commuter reimbursement
- Flexible work-from-home-office opportunities, as determined by position and job duties
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
- Many opportunities to lead teams, projects, and contribute to development
- Casual professional working environment: there’s no need to dress up, just present your best self
- Work collaboratively in a diverse environment- we commit to reaching better decisions by respecting opinions and working through disagreements
BENEFITS OF WORKING AT GELI
Competitive salary commensurate with experience
Competitive benefits offerings
Convenient accessible location in downtown San Francisco
Flexible work-from-home-office opportunities, as determined by position and job duties
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
Many opportunities to lead teams, projects, and contribute to development
Casual professional working environment: there’s no need to dress up, just present your best self
Work collaboratively in a diverse environment- we commit to reaching better decisions by respecting opinions and working through disagreements
DIVERSITY
We value the insights that a diverse team can bring. We encourage applications from members of groups that have been traditionally underrepresented in tech.
Growing Energy Labs, Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.
