Enertiv | Data Engineer | United States | United States | BigDataKB.com | 2023-01-17

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Job Location: United States

Job Detail:

The mission of the Data Engineer 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.

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 a more efficient equipment replacements with specificity.
  4. Review and Implement a scoring system amounting to 10 unique scores within the platform. (Property Roll Up (1), Property Modules (4), Portfolio Roll Up (1), Portfolio Modules (4)
  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.

All this impact while also increasing notification accuracy by at least 25% and creating an automated feedback loop that will continuously improve all active notification/alert types. Are you up for the challenge? We hope to hear from you!




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