Staff Data Scientist

Summary

Join GoodLeap as a Staff Data Scientist and develop predictive models using energy data to enhance various company applications, including predictive maintenance and savings predictions. You will collaborate with stakeholders to define and prioritize data modeling projects, establish best practices for model performance measurement, and mentor team members. This role requires a strong background in machine learning and energy data applications, along with experience in working with business stakeholders. You will also contribute to improving our understanding of energy production and consumption and guide the development of ML-friendly energy datasets. The position offers a competitive salary, bonus, and equity.

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

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

Benefits

• $173,000 - $200,000 a year
• Bonus
• Equity