This is a Fully Remote Job
About Our Client:
The organization operates in the energy industry, focusing on enabling a carbon-free, distributed energy future. It addresses the challenge of integrating large numbers of distributed energy devices, such as thermostats, electric vehicles, and home batteries, with the electric power grid. By coordinating and analyzing data from over a million devices, the program supports grid stability and increased use of renewable energy sources like solar and wind.
About the Opportunity:
The ENERGY DATA SCIENTIST role is central to advancing the evaluation and forecasting of grid services delivered by distributed energy resources. This position contributes by developing measurement and verification methodologies and data science models, improving control algorithm assessments, and transforming complex energy IoT data into actionable insights. The role supports collaboration across data science, engineering, and client-facing teams to enhance the organization's impact in the energy sector.
Responsibilities:
- Develop measurement and verification methodologies and data science models for evaluating grid services from distributed energy resources
- Write production-level code and prototype new data products
- Apply machine learning algorithms to large energy IoT datasets
- Translate extensive distributed energy data into actionable insights for utilities and stakeholders
- Collaborate with cross-functional teams including Data Engineering, Client Success, Marketing, Sales, Product, and Market Development
- Perform other related duties as assigned
Requirements:
- Experience with Python and scientific libraries such as pandas, numpy, and scipy
- Proficiency in SQL and understanding of data modeling and ETL/ELT processes
- Practical knowledge of machine learning algorithms and tools like Sklearn and TensorFlow
- Ability to communicate complex data analysis results clearly to diverse audiences
- Passion for enabling a carbon-free, distributed energy future
Bonus Qualifications:
- Experience with measurement and verification of distributed energy resource controls
- Familiarity with Snowflake, dbt, and analytics engineering practices
- Experience with BI tools such as Sigma, Tableau, or Looker
- Experience scaling data science products in cloud environments (Databricks, AWS, GCP, Azure)
- Strong background in mathematics and statistics
- Expertise in power systems and three-phase distribution network modeling
Pay Range and Compensation Package:
- The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.
Benefits & Perks:
- 100 percent paid medical insurance for employees
- 401(k) plan with employer match
- Paid parental leave
- Flexible work schedule
- Casual work environment
- Fully stocked fridge and pantry
- Free Citi Bike membership and secure bike rack
- Gym subsidy
- Education assistance program
Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.