Staff Data Scientist

at GoodLeap
πŸ’° $173k-$200k
πŸ‡ΊπŸ‡Έ United States - Remote
πŸ“Š DataπŸ”΅ Mid-level

Job description

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

$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 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!Β  Apply today!

Share this job:
Please let GoodLeap know you found this job on Remote First Jobs πŸ™

Similar Remote Jobs

Benefits of using Remote First Jobs

Discover Hidden Jobs

Unique jobs you won't find on other job boards.

Advanced Filters

Filter by category, benefits, seniority, and more.

Priority Job Alerts

Get timely alerts for new job openings every day.

Manage Your Job Hunt

Save jobs you like and keep a simple list of your applications.

Search remote, work from home, 100% online jobs

We help you connect with top remote-first companies.

Search jobs

Hiring remote talent? Post a job

Frequently Asked Questions

What makes Remote First Jobs different from other job boards?

Unlike other job boards that only show jobs from companies that pay to post, we actively scan over 20,000 companies to find remote positions. This means you get access to thousands more jobs, including ones from companies that don't typically post on traditional job boards. Our platform is dedicated to fully remote positions, focusing on companies that have adopted remote work as their standard practice.

How often are new jobs added?

New jobs are constantly being added as our system checks company websites every day. We process thousands of jobs daily to ensure you have access to the most up-to-date remote job listings. Our algorithms scan over 20,000 different sources daily, adding jobs to the board the moment they appear.

Can I trust the job listings on Remote First Jobs?

Yes! We verify all job listings and companies to ensure they're legitimate. Our system automatically filters out spam, junk, and fake jobs to ensure you only see real remote opportunities.

Can I suggest companies to be added to your search?

Yes! We're always looking to expand our listings and appreciate suggestions from our community. If you know of companies offering remote positions that should be included in our search, please let us know. We actively work to increase our coverage of remote job opportunities.

How do I apply for jobs?

When you find a job you're interested in, simply click the 'Apply Now' button on the job listing. This will take you directly to the company's application page. We kindly ask you to mention that you found the position through Remote First Jobs when applying, as it helps us grow and improve our service πŸ™

Apply