Data Scientist

Our Mission

Buildings account for over a third of greenhouse gas emissions in the US and globally. The most viable pathway for decarbonizing the built environment is to replace fossil fuel appliances with efficient, electric alternatives (e.g. replacing a gas furnace with a heat pump), and then powering those electric appliances with carbon-free electricity. Billions in incentives are available each year to make upgrades more affordable, yet finding and claiming funds is time-consuming, costly, and risky for potential participants. Furthermore, these programs are expensive to administer for incentive providers. Rock Rabbit delivers an AI-powered API and app to make it fast, easy and reliable for participants to find and claim rebates, tax credits and financing for electrification projects. Rock Rabbit also partners directly with incentive providers to make these programs more equitable and cost-effective to administer. Rock Rabbit integrates the highly fragmented landscape of actors, processes & data to drastically reduce friction across the value chain - ultimately accelerating the rate of building decarbonization.

About The Business

We are building an AI-powered data and workflow SaaS platform to accelerate building decarbonization. Our platform allows for streamlined discovery, application, and ultimately end-to-end management of incentives and financing. With a small team and in only one year, we have built out our core product suite, closed dozens of contracts, been accepted into multiple accelerators, won multiple awards, processed millions of dollars in incentive funds, and attracted top tier venture capital investors. We are now rapidly expanding across the nation.

The Role

• You’ll build ML systems streamlining internal operations and enabling customer-facing functionality.

• You’ll have access to large datasets of electrification incentive programs and real electrification projects.

• You’ll be working closely with domain experts and engineers who have decades of experience in building decarbonization and incentive administration, in order to build generalizable incentive management systems.

• Your work will make a direct impact on building decarbonization: success at Rock Rabbit lowers the cost curve for home electrification.

• This is a fully remote position - you can live anywhere in the continental United States.

• You will work with a diverse and mission aligned team - everyone here wants to help solve climate change.

• You’ll be given a lot of autonomy, and the ability to influence the product roadmap.

• You’ll help us achieve scale.

Responsibilities

• Collect, clean, and preprocess structured and unstructured data from various sources

• Validate data for accuracy and completeness

• Perform exploratory data analysis to uncover trends, patterns, and insights.

• Design and implement processes to automatically ingest unstructured incentive data (emails, PDFs, spreadsheets, etc.) into a structured database.

• Collaborate with data engineering teams to establish ETL/ELT pipelines that ensure data quality and scalability.

• Develop and train ML models to validate incentive claim data, detecting potential anomalies, inconsistencies, and fraud.

• Collaborate with software engineers to deploy ML models in production environments (e.g., cloud platforms).

• Establish real-time model monitoring, evaluation, and retraining strategies to ensure performance and reliability.

• Work closely with product managers, business stakeholders, and operations teams to understand product requirements and build data-driven solutions.

• Present findings and recommendations to technical and non-technical audiences, ensuring alignment with business goals.

• Stay updated on the latest trends, tools, and best practices in data science

• Ensure data security and adhere to company policies regarding sensitive information

• Document workflows, methodologies, and project details for future reference

About You

• Experience with prototyping and deploying ML-based systems

• Experience working closely with domain experts, and modeling complex domains

• Proven track record operationalizing ML systems, preferably at early-stage startups

• Experience operationalizing LLM-based pipelines

• Pragmatic and comfortable with ambiguity

• Collaborative

Compensation

The U.S. base salary range for this position is $110,000-$140,000 plus benefits, equity and variable compensation for Sales-related roles. This range represents Rock Rabbit’s good faith estimate of competitively-priced salary for the role based on national, real-time industry data from companies of a similar growth stage. This range reflects minimum and maximum new hire salaries for the role across US locations. Within the range, individual pay is determined by location and individual factors including relevant skills, experience and education or training. This range correlates to the relative level of the candidate we believe we need for the role and may require an adjustment for candidates of a different level. We can share more about the specific salary range for the location this role is based during the hiring process.

Benefits and Perks

• Competitive compensation + equity grants at a venture-backed climate start-up

• Comprehensive benefits (including medical, dental, vision, 401k)

• Recurring all team events with an emphasis on team-building and culture

• Remote-first work environment

• Unlimited PTO

Equal Opportunity Employment

Rock Rabbit is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, or any other legally protected status. All employment decisions are based on business needs, job requirements, and individual qualifications. We encourage applicants of all backgrounds to apply.

Remote restrictions

• Workday must overlap by at least 5 hours with San Francisco, CA, USA