Data Scientist

Mission:
The mission of the Data Scientist is to support data analysis development needs in the platform. A large part of the role is to automate aspects of the client success team, by taking the analysis they perform and to provide a degree of automation. Through the use of data science and machine learning, facilitate code that can find value in building data, that otherwise would be a time consuming manual exercise. This requires understanding building data and being able to convert those analyses into software requirements fulfilled in python.
It will require understanding what it will be necessary to achieve a net zero future and how data science and machine learning along with the data that Enertiv provides can help achieve that aim. This requires a background in electrical engineering/mechanical engineering/sustainability or experience in the real estate industry so new grads will not be considered.

To receive an immediate response if you believe you're the right fit after reading the following outcomes, feel free to apply directly to this role

*Outcomes *

1. Develop analytical tools to automatically identify a minimum of $10M of verified savings.
2. Build at least 25 new alert types working closely with the Client Success and Product teams.
3. Leveraging the Equipment meta data database to productize equipment-level benchmarking capabilities and the ability to not only identify inefficient equipment, but be able to recommend more efficient equipment replacements with specificity.
4. Increasing notification accuracy by at least 25% and creating an automated feedback loop that will continuously improve all active notification/alert types.
5. Create the ability to benchmark performance of individual property-level operators (to drive engagement and accountability), as well as property management teams and companies across the Enertiv portfolio to ship a novel report on property team performance before EOY.

Functional Competencies:
Python
-Pandas, Numpy, scikit learn, etc.
-Bonus for familiarity with AI approaches, such as tensorflow, etc.
-Be able to produce production quality code

Data management skills
-SQL and being able to query and interact with large datasets
-Data cleaning

Understanding of how buildings work
-Familiarity with electrical engineering basics
-HVAC systems
-ESG/Sustainability
-Curiosity with building operations and how they can be improved

*Familiar with cutting edge technologies & research capabilities *