Senior Data Scientist, Consumer Solutions - GoodLeap

Job Title: Senior Data Scientist, Consumer Solutions
Job Location: San Mateo, CA
Job Listing URL: https://jobs.lever.co/goodleap/1b9909db-4081-4ecf-b9e4-a15e63a68e1d
Job Description: About GoodLeap:
GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018.

GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America.

Position Summary
We are seeking a Senior Data Scientist with experience using data to explore business questions and inform decision-making to support our Consumer Solutions business unit as they work to connect our customer base with more opportunities to save money and reduce emissions through home improvement projects and finance products. Our ideal candidate is an agile analytical problem-solver with the business sense to understand questions and pose hypotheses and the technical skills to produce trustworthy, rigorous insights from data. In this role, you will work closely with product and business leaders to drive data-driven prioritization decisions, build our understanding of users' experience in our homeowner app, and measure the success of our communications and cross-sell efforts. You will also have the opportunity to collaborate with other members of the Analytics team on foundational projects to empower analysts and business users across the company with more and easier access to data.
Responsibilities
Work with stakeholders and team members to scope and prioritize analysis projects that will drive impact and guide business and product decisions
Develop metrics that are informative, responsive, and relevant to stakeholder teams' actions
Work with product and business teams to set goals and develop and execute measurement plans for new initiatives, including selecting success metrics, reviewing instrumentation plans, and developing launch reporting
Design and execute rigorous, actionable analyses, using appropriate statistical methods to validate hypotheses and/or produce actionable predictions and prescriptions
Communicate analysis results effectively to non-technical stakeholders and represent data perspective in strategy conversations
Requirements
MS in DS, Statistics, or related technical degree or equivalent work experience
3-5 years' experience as a Data Scientist or in a similar role
3+ years' hands-on SQL experience performing open-ended analysis in a work environment
Experience with casual inference, including both experimental and observational methods
Experience defining informative metrics for understanding a business area and developing actionable reporting for teams to monitor
Experience supporting product and/or marketing teams with opportunity sizing, launch metrics for new initiatives, and data-driven roadmap prioritization
Demonstrated ability to work cross-functionally and communicate with technical and non-technical teams
Demonstrated ability to work with stakeholders to translate business questions into rigorous and actionable analysis projects