SPAN develops products that accelerate the rapid adoption of renewable energy in the home. The flagship SPAN Smart Panel is the first true evolution for the traditional home electric panel, harnessing enhanced technology for metering, monitoring, and control. An expanded product suite of intelligent, integrated solutions radically lowers the cost and complexity of energy upgrades–including solar, batteries and EVs–empowering homeowners to be active, resilient and informed players in the energy market.
In this cross-functional position, you will be empowered to become a data product expert and apply technical reasoning, design thinking, and data analysis to a variety of projects, from design through deployment. Our systems collect a large volume of energy monitoring data that needs to be analyzed, processed and used to develop features for the next generation of automated decision making products.
As an intern, you will work alongside the data science and product teams at SPAN to identify opportunities and requirements for new product features, support these decisions through data analysis of customer data and be part of their development, implementation, and evaluation. The role will give you broad exposure to many aspects of product data science: we’ll expect you to do a mix of research on product features, data analysis, model development, and data collection.
Analyze, model, and forecast electrical consumption data
Research and break down requirements for new products and features
Conduct literature analysis, validate findings, and design machine learning models
Implement, test, and evaluate new features and products using field measurements
Collect, clean, and analyze data sets of electrical consumption and machine predictions
Be ready to pitch in on projects outside of your subject area, when needed
As we are a startup, this list should be considered neither exhaustive nor complete. We’re excited for people to explore responsibilities outside their normal areas of expertise if the need or interest arises!
Required Qualifications
We are seeking some has:
Passion for clean energy technology and decarbonization
Excellent communication skills
Pursuing a degree in computer science, applied mathematics, statistics, or equivalent fields
Experience with the analysis of large data sets
Strong understanding of most common machine learning techniques and their applications
Experience using Python and SQL
Bonus Qualifications
We would love to find someone who has:
Prior experience with product development, especially involving machine learning systems
Experience with using cloud computing platforms (e.g. AWS)
Experience with signal processing
Experience with optimization
Experience with causal inference
Experience with or interest in data visualization
Cool projects or coursework in data science / data analytics
SPAN embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
Headquartered in San Francisco’s vibrant SoMa neighborhood, we are an eclectic group of creative thinkers who value open communication, teamwork, and a ‘make it happen’ approach to addressing complex challenges.
Our CEO, Arch Rao—former head of the Tesla Powerwall team—fosters an energetic and collaborative environment, with a strong emphasis on maintaining work-life-balance across the organization.
We’re hiring talented individuals who are driven by success and are passionate about shaping the future of renewable energy. If that sounds like you, we’d love for you to consider joining the rapidly growing team at SPAN.
The Perks:
⚡ Competitive compensation + equity grants at a well-funded, venture-backed company
⚡ Comprehensive benefits (including medical; dental, vision, life and disability insurance)
⚡ Comfortable, sunny office space located near BART and Caltrain public transit
⚡ Strong focus on team building and company culture (events, meet-ups, clubs)
⚡ Flexible hours and unlimited PTO
Our Mission & Values:
At SPAN, we believe that powering your home with clean energy should be a simple and delightful experience that is at its essence human-centered and technology-forward.
Our core values include:
Interested in joining our team? Submit an application today and we’ll be in touch with the next steps!