GoodLeap Logo

GoodLeap

Staff Data Scientist, Energy Insights

Posted 2 Days Ago
Remote
Hiring Remotely in US
173K-200K Annually
Senior level
Remote
Hiring Remotely in US
173K-200K Annually
Senior level
The Staff Data Scientist will develop predictive models for energy data, collaborate with teams, and mentor others in ML practices.
The summary above was generated by AI
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

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 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!

Top Skills

Aws Sagemaker
Mlflow
Python
SQL

Similar Jobs

A Minute Ago
Remote or Hybrid
USA
144K-160K Annually
Senior level
144K-160K Annually
Senior level
Cloud • Edtech • Information Technology • Software
The Senior Customer Success Manager will oversee customer accounts, ensure successful onboarding, adoption, and renewal, while building strong relationships and collaborating with internal teams to achieve customer objectives.
Top Skills: GainsightSalesforce
A Minute Ago
Easy Apply
Remote
US
Easy Apply
110K-125K
Junior
110K-125K
Junior
Information Technology • Cybersecurity
The Growth Marketing Manager will implement and monitor B2B paid search campaigns, optimize strategies for lead generation, analyze performance metrics, and collaborate with cross-functional teams.
Top Skills: Bing AdsGoogle AdsSigmaSisenseTableau
2 Minutes Ago
Easy Apply
Remote
USA
Easy Apply
133K-170K
Senior level
133K-170K
Senior level
Big Data • Healthtech • HR Tech • Machine Learning • Software • Telehealth • Big Data Analytics
The Growth Marketing Strategy Director will lead enterprise marketing strategies, optimize performance using data, and collaborate with Sales and Account Management to enhance client engagement.
Top Skills: Data-Driven MarketingGrowth Marketing

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account