Job Url: https://www.remoterocketship.com/company/goodleap/jobs/staff-data-scientist-energy-insights-united-states-remote Job Description: GoodLeap Website LinkedIn All Job Openings GoodLeap is a tech company delivering best-in-class financing and software products for sustainable solutions. It supports homeowners and businesses nationwide by providing solar loans, energy efficiency loans, and other financing solutions to promote green energy adoption. GoodLeap is committed to a sustainable future, having facilitated $58B in cumulative financing and offsetted 14M metric tons of CO2. The company offers solutions like solar and storage systems, energy-efficient upgrades, and smart home technologies, primarily catering to the green energy sector. Their partnerships and initiatives aim to expand access to clean energy and support environmental sustainability. Clean energy financing β€’ solar loans β€’ Fintech β€’ mortgage loans 501 - 1000 employees Founded 2020 πŸ’Έ Finance ⚑ Energy πŸ’³ Fintech Staff Data Scientist, Energy Insights Yesterday πŸ‡ΊπŸ‡Έ United States – Remote πŸ’΅ $173k - $200k / year ⏰ Full Time πŸ”΄ Lead πŸ“Š Data Scientist πŸ¦… H1B Visa Sponsor Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ 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. β€’ 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. β€’ 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. β€’ 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. 🎯 Requirements β€’ MS in DS, Statistics, MIS, or related technical degree or equivalent work experience β€’ 7+ years' experience as a Data Scientist or in a similar role β€’ 7+ years' hands-on experience using SQL or a similar language for data manipulation β€’ 5+ years' hands-on experience using Python or a similar language for statistical programming β€’ Experience developing, deploying, and maintaining ML models in MLFlow and/or AWS Sagemaker, including models based on energy production and/or consumption data β€’ Experience evaluating ML models and communicating results to non-technical stakeholders β€’ Demonstrated ability to work cross-functionally and collaborate with technical and non-technical teams to productionize and drive adoption of ML models β€’ Demonstrated ability to work with stakeholders to translate business needs into impactful ML modeling projects πŸ–οΈ Benefits β€’ In addition to the above salary, this role may be eligible for a bonus and equity.