Qualifications
To excel in this role, candidates should possess a strong background in data science, proficiency in statistical analysis, and experience with data visualization tools. Exceptional communication skills are essential for effective collaboration with cross-functional teams. A Bachelor's degree in a related field is preferred, along with experience in managing data-driven projects.
About the job
About GoodLeap:
GoodLeap is an innovative technology firm providing exceptional financing and software solutions for sustainable products, including solar panels, energy-efficient HVAC systems, heat pumps, roofing, and windows. Over a million homeowners have utilized our user-friendly, fast, and seamless technology, making the adoption of these eco-friendly products more accessible and affordable. Thousands of professionals leveraging home efficiency and solar solutions depend on GoodLeap's proprietary, AI-driven applications and developer tools to enhance transparency in customer communication, deepen business insights, and streamline payment processes. Since 2018, our platform has facilitated over $30 billion in financing for sustainable initiatives.
Additionally, GoodLeap proudly supports its award-winning nonprofit, GivePower, which is dedicated to constructing and deploying life-saving water and clean electricity systems, positively impacting the lives of over 1.6 million individuals across Africa, Asia, and South America.
Position Summary
We are in search of a Staff Data Scientist who has a proven track record of managing data science roadmaps and influencing key stakeholders to shape business strategy. Our ideal candidate is results-driven, adept at prioritizing multiple responsibilities, and capable of working independently alongside both product and business teams. In this position, you will identify, prioritize, and execute analysis projects that reveal opportunities, direct investments, and ensure accountability for outcomes. You will collaborate closely with fellow members of the Analytics team on foundational projects aimed at equipping analysts and business users across the organization with easier access to data.