Senior Data Scientist - Servicing Solutions

Employment Type: Full Time Salary: $146,000 - $170,000 a year (plus potential bonus) Location Type: Not Specified

About GoodLeap

GoodLeap is a technology company dedicated to providing best-in-class financing and software solutions for sustainable home improvements. We empower homeowners to adopt products like solar panels, batteries, energy-efficient HVAC systems, heat pumps, roofing, and windows through our simple, fast, and frictionless technology. Since 2018, our platform has facilitated over $30 billion in financing for sustainable solutions, benefiting over 1 million homeowners.

Thousands of professionals in the solar and home efficiency sectors rely on GoodLeap's proprietary, AI-powered applications and developer tools. These tools enhance customer communication, provide deeper business intelligence, and streamline payments and operations.

GoodLeap is also proud to support GivePower, our award-winning nonprofit that provides life-saving water and clean electricity systems to over 1.6 million people across Africa, Asia, and South America.

Position Summary

We are looking for an impact-oriented Senior Data Scientist with a proven track record in defining measurement plans, driving analysis roadmaps, and influencing stakeholders to shape our Servicing Solutions strategy. The ideal candidate is adept at defining metrics, comfortable working independently, and skilled at collaborating with both product and business stakeholders.

In this role, you will be responsible for developing metrics, scoping, and executing analysis projects to uncover opportunities, inform investments, and drive accountability. You will also collaborate with the Analytics team on foundational projects to improve data accessibility for analysts and business users company-wide.

Responsibilities

• Collaborate with stakeholders to scope and prioritize analysis projects that drive business and product decisions.
• Develop informative, responsive, and relevant metrics for stakeholder teams.
• Design and execute rigorous, actionable analyses using appropriate statistical methods to validate hypotheses and generate predictions.
• Effectively communicate analysis results to non-technical stakeholders and represent data perspectives in strategy discussions.
• Work with product and business teams to identify key assumptions and opportunities addressable through data modeling.
• Develop plans for leveraging data to accelerate learning and deliver results.
• Partner with product and business teams to develop and execute measurement plans for new initiatives and model deployments, including selecting success metrics, reviewing instrumentation, and creating launch reporting.

Requirements

• Master's degree in Data Science, Statistics, or a related technical field, or equivalent work experience.
• 3-5 years of experience as a Data Scientist or in a similar role.
• 3+ years of hands-on SQL experience in a professional setting.
• Experience with causal inference, including both experimental and observational methods.
• Demonstrated ability to define informative metrics and develop actionable reporting for business monitoring.
• Proficiency in building reports and visualizations using Tableau or similar data visualization tools.
• Proven ability to work cross-functionally and communicate effectively with technical and non-technical audiences.
• Demonstrated ability to translate business questions into rigorous and actionable analysis projects with stakeholders.
• Experience owning, prioritizing, and communicating a data roadmap for a specific business area.

Additional Information

• Job duties may include additional responsibilities as assigned by supervisors or managers related to the position or department.