Qcells is hiring a Forecasting Engineer

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 be a project leader and leverage your skills and experience in the development of our time series forecasting models for various projects (solar generation, energy consumption for commercial and industrial EMS and residential VPP as well as utility-scale electricity market prices) using machine learning techniques. Our data science and cloud platforms use state-of-the-art technologies to set you up for success. As data science is at the core of our software platform, you will have plenty of opportunities to contribute to the software development of our emerging energy storage products.

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 ML, Software, Analytics, and Optimization Engineers focusing on the duties listed in "Primary Responsibilities".

PRIMARY RESPONSIBILITIES

• Development of our time series forecasting algorithms, which include: Advanced feature engineering and selection, Prototyping new algorithms, and Performance benchmarking
• Documentation and presentation of results
• Actively participating in the integration of new forecasting algorithms into our production environment with robust test coverage
• Collaborating with the rest of the team to assess how forecasts can be adjusted for various economic objectives.
• Proactively identify opportunities that can benefit from data science and present your findings in our data science knowledge-sharing sessions.
• Work collaboratively in a diverse environment. We commit to reaching better decisions by respecting opinions and working through disagreements.

• Minimum 3 years of experience as a Forecasting Engineer, Data Scientist, ML Engineer, or Statistician
• Experience in advanced feature engineering and model explainability techniques   
• Experience in ML algorithm development: Proficient in advanced hyper-parameter tuning techniques, online training, and prediction set-up, and performance metrics and evaluation for time-series
• Programming skills: Proficient in Python (object-oriented programming)
• Python libraries: NumPy, Pandas, SciPy, Sklearn, Statsmodels, XGBoost, LightGBM, SHAP and Lime

• MSc or Ph.D. degree in Data Science, Computer Science, Statistics, Engineering, or Science
• Probabilistic Time-series Forecasting Techniques
• Python libraries: TensorFlow, PyTorch, PyMC3, TensorFlow-probability
• Experience in experiment-tracking approaches (MLflow, Weights & Biases)
• Experience in Power Markets, Energy Arbitrage, Virtual Power Plants, etc.
• ML deployment experience: Productizing code in integrated software systems and/or AWS deployment experience (SageMaker Studio, Lambda, etc.)

BENEFITS OF WORKING AT GELI

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

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 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

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.