Energy Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Create measurement and verification (M&V) methodologies and data science models for the precise and transparent assessment of advanced grid services from distributed energy resource fleets.

• Develop production-quality code and prototype innovative data products.

• Utilize machine learning algorithms on energy IoT data.

• Convert extensive distributed energy datasets into actionable insights for electric utilities and various stakeholders in the energy sector.

• Work collaboratively with teams in Data Engineering, Client Success, Marketing, Sales, Product, and Market Development.

• Assist in enhancing models that evaluate control algorithms, performance assessments, and forecasting.

• Contribute to data management software systems.

• Perform additional tasks as required.

⛳️ Requirements

• Proficient in Python and the scientific stack (pandas, numpy, scipy).

• Skilled in SQL with a grasp of effective data modeling practices (basic ETL/ELT).

• Fundamental understanding of basic machine learning algorithms.

• Familiarity with Scikit-learn and TensorFlow.

• Capability to articulate results from large-scale data analyses to various audiences.

• New candidates must not require sponsorship for employment authorization or any immigration-related support.

• Bonus: Experience in measurement and verification (M&V) related to the control and optimization of distributed energy resources.

• Bonus: Familiarity with Snowflake, dbt, and analytics engineering development practices.

• Bonus: Experience with BI tools such as Sigma, Tableau, or Looker.

• Bonus: Experience in scaling data science products in cloud environments, including Databricks, AWS, GCP, or Azure.

• Bonus: Strong foundation in mathematics and statistics.

• Bonus: Knowledge of power systems, including modeling of three-phase distribution networks.

🏝️ Benefits

• Comprehensive medical coverage for employees at no cost.

• 401(k) plan with employer matching contributions.

• Flexibility to create your own work schedule.

• Fully stocked refrigerator and pantry.

• Complimentary Citi Bike membership.

• Secure bike storage.

• Gym membership subsidy.

• Paid parental leave.

• Education assistance program.

• Casual work environment.

• Opportunities to collaborate with and learn from exceptional colleagues.

• Immediate responsibilities and empowerment.

• Exposure to cutting-edge IoT, SaaS, and machine learning technologies.

• Opportunities to work directly with executives and gain expertise across various business domains.