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.

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.

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".

Competitive salary commensurate with experience

Competitive benefits offerings

Conveniently accessible location in downtown San Francisco

Flexible work-from-home-office opportunities, as determined by the position and job duties

Cigna and Kaiser options - available by region

Cigna Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution

Healthcare and Dependent Care Flexible Spending Accounts (FSA)

Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Cigna medical plan

Company-paid Basic Life, AD&D, short-term, and long-term disability insurance

Voluntary benefits include: critical illness, hospital indemnity, accident insurance

401(k) with a 4% employer match

3 weeks of paid Parental Leave

Sick time- 72 hours frontloaded per calendar year

Vacation time (Flex time), and 13 Paid Holidays

Health Advocate wellness and concierge services

Wellness programs with our benefits providers

Commuter benefits

EAP

Bereavement leave- 5 paid days

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 on the success of the company

Many opportunities to lead teams, and 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

We value the insights that a diverse team can bring. We encourage applications from members of groups that have been traditionally underrepresented in tech.