Staff Data Scientist, Energy Insights

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 Staff Data Scientist with experience developing predictive models based on energy to support applications across the company, including predictive maintenance, savings predictions, and more. Our ideal candidate has substantive experience in machine learning and energy data applications, is comfortable owning and prioritizing a roadmap independently, and has experience working with business stakeholders to gather requirements, share results, and drive adoption of data models. In this role, you will scope, prioritize, and execute data modeling projects for teams across the company to use in order to operate more effectively based on energy data. You will also have the opportunity to work closely with other members of the Analytics team to increase our understanding of the energy production and consumption and guide development of ML-friendly energy datasets.

Responsibilities

• Develop Machine Learning models based on energy data to support a range of use cases across the company
• Work with stakeholders in Operations and Maintenance, Consumer Solutions, and other teams around the company to scope and prioritize data modeling projects that will increase the efficiency and effectiveness of their teams
• Establish best practices for measuring the performance of data models both offline and online and use results educate non-technical stakeholders on value and lifecycle of data products
• Mentor team members on ML projects and take part in tool selection decisions
• Provide guidance to Analytics Engineers on data modeling needs of ML systems

Requirements

• MS in DS, Statistics, MIS, or related technical degree or equivalent work experience
• 7+ years' experience as a Data Scientist or in a similar role
• 7+ years' hands-on experience using SQL or a similar language for data manipulation
• 5+ years' hands-on experience using Python or a similar language for statistical programming
• Experience developing, deploying, and maintaining ML models in MLFlow and/or AWS Sagemaker, including models based on energy production and/or consumption data
• Experience evaluating ML models and communicating results to non-technical stakeholders
• Demonstrated ability to work cross-functionally and collaborate with technical and non-technical teams to productionize and drive adoption of ML models
• Demonstrated ability to work with stakeholders to translate business needs into impactful ML modeling projects

Compensation

$173,000 - $200,000 a year In addition to the above salary, this role may be eligible for a bonus and equity.

Additional Information Regarding Job Duties and Job Descriptions

Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other.