Offer summary

Qualifications:

Bachelor's or master's degree in Data Science, Statistics, MIS, or related field., At least 7 years of experience as a Data Scientist or similar role., Proficiency in SQL and Python for data manipulation and statistical programming., Experience developing and deploying machine learning models using MLFlow or AWS Sagemaker..

Key responsibilities:

Develop machine learning models based on energy data for various company applications.

Collaborate with stakeholders to scope and prioritize data modeling projects.

Establish best practices for measuring model performance and communicate results to non-technical teams.

Mentor team members and guide data modeling needs for ML systems.

Job description

About GoodLeap:

GoodLeap is a technology company delivering bestinclass financing and software products for sustainable solutions, from solar panels and batteries to energyefficient 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, AIpowered 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 awardwinning nonprofit, GivePower, which is building and deploying lifesaving 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 MLfriendly 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 nontechnical 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 handson experience using SQL or a similar language for data manipulation
5+ years handson experience using Python or a similar language for statistical programming
Experience developing, deploying, and maintaining ML models in MLFlow andor AWS Sagemaker, including models based on energy production andor consumption data
Experience evaluating ML models and communicating results to nontechnical stakeholders
Demonstrated ability to work crossfunctionally and collaborate with technical and nontechnical teams to productionize and drive adoption of ML models
Demonstrated ability to work with stakeholders to translate business needs into impactful ML modeling projects
Additional Information Regarding Job Duties and Job Descriptions:
Job duties include additional responsibilities as assigned by ones supervisor or other managers related to the positiondepartment. 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 skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law.

If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today!