Energy Data Scientist

Far Coder; Northern (KY); Hybrid; USD 100,000 - 157,000; Full time

Benefits offered by this job

100% paid medical for employees

401(k) with employer match

casual environment

flexibility to set your own schedule

gym subsidy

education assistance program

Job summary

EnergyHub is seeking an Energy Data Scientist to join the Analytics Engineering team. You will drive M&V methodologies, build data science models, and write production-level code to convert energy IoT data into actionable insights for electric utilities and stakeholders.

You will collaborate with Data Science, Data Engineering, and Product teams to improve models used in evaluation of control algorithms and to enhance forecasting capabilities nationwide.

Qualifications

• Experience with Python and the scientific stack (pandas, numpy, scipy).
• Proficiency in SQL and data modeling practices (ETL/ELT).
• Knowledge of ML basics and common packages (Sklearn, TensorFlow).

Responsibilities

• Drive development of M&V methodologies and data science models.
• Write production-level code and prototype new data products.
• Translate energy IoT data into actionable insights for utilities and stakeholders.

Skills

Python

SQL

ML basics

ETL/ELT

Pandas/Numpy

TensorFlow/Sklearn

Tools

Snowflake

dbt

Sigma/Tableau/Looker

Job description

EnergyHub is hiring a remote candidate for Energy Data Scientist. This is a full time position. Work location: USA. The role typically involves technologies such as SQL, Python, .NET, AWS, GCP, Azure. EnergyHub is working to enable a carbon-free, distributed energy future by seamlessly integrating enormous numbers of energy devices with the electric power grid. Our platform coordinates and collects terabytes of data from what will soon be more than 1,000,000 distributed energy devices, such as thermostats, electric vehicles and home batteries. Coordinating and evaluating the performance of all of these devices to forecast and estimate the delivered grid value requires state-of-the-art data science, control systems and machine learning. As such, EnergyHub seeks to hire an Energy Data Scientist to join EnergyHub’s Analytics Engineering team. As an Energy Data Scientist you will work closely with other data scientists and analytics engineers to improve the models used for evaluation of our control algorithms. You will collaborate with the Data Science and Power Systems Intelligence team to understand the algorithms and optimizations used in order to improve our performance evaluation and forecasting abilities. You will also contribute to our data management software systems and will become core to the foundation of a future with carbon-free and distributed energy.

What you will do:

You will drive the development of M&V methodologies and data science models for more accurate and transparent evaluation of our advanced grid services from fleets of distributed energy resources. You will write production-level code, prototype new data products, and apply machine learning algorithms to energy IoT data. You will work to translate data from one of the largest distributed energy datasets in the electricity industry into actionable insights for electric utilities and other energy industry stakeholders. You will collaborate closely with stakeholders inside and outside of EnergyHub including Data Engineering, Client Success, Marketing, Sales, Product, and Market Development teams. Other duties as assigned.

Who you are:

You are passionate about enabling a carbon-free, distributed energy future. You thoroughly enjoy finding valuable insights in large, complex datasets. You have experience with Python and the scientific stack (pandas, numpy, scipy). You have proficiency in SQL and understand good data modeling practices (basic ETL/ELT). You have a practical comprehension of basic machine learning algorithms and are familiar with popular software packages such as Sklearn and Tensorflow. You can explain results from large-scale data analyses to diverse audiences in a way that is clear, interesting and actionable. You can have fun while working on really hard problems with really smart people.

Bonus points if:

• You have experience in the measurement and verification (M&V) of control and optimization of distributed energy resources
• You have experience in using Snowflake, dbt and understanding analytics engineering development practices
• You have experience with at least one BI tool such as Sigma, Tableau, Looker, etc)
• You have experience with scaling data science products in the cloud (e.g., Databricks, AWS, GCP, Azure)
• You have a strong background in mathematics and statistics
• You have power systems expertise, including three-phase distribution network modeling

Why work for EnergyHub?

Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other. Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team! Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business. Work with the latest technologies: You’ll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs. Be part of something important: Help create the future of how energy is produced and consumed. Make a positive impact on our climate.

About EnergyHub

EnergyHub empowers utilities and their customers to create a clean, distributed energy future. We help consumers turn their smart thermostats, EVs, batteries, and other products into virtual power plants that keep the grid stable and enable higher penetration of solar and wind power. To learn more, visit energyhub.com.

Company Benefits

• 100% paid medical for employees
• 401(k) with employer match
• casual environment
• flexibility to set your own schedule
• fully stocked fridge and pantry
• free Citi Bike membership
• secure bike rack
• gym subsidy
• paid parental leave
• education assistance program

Equal Opportunity Employer

EnergyHub is an Equal Opportunity Employer EOE, Including Disability/Vets. Reasonable accommodations are available for individuals with disabilities throughout the application process. If you are a person with a disability needing assistance with the application process, please contact [e-mail].

In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

Notice To Third Party Agencies: EnergyHub understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you.

The base salary range of this opportunity is listed below and is determined within a range based on factors including qualifications, location and experience. This allows opportunity for growth and development within the role. The base salary offered is part of a total compensation package. Base Salary Range $100,000—$156,750 USD. Seniority level: Senior.