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Data Science Development Engineer

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Job Description

Blueprint Power transforms the energy profile of the built environment, creating new revenue opportunities while reducing the carbon footprint for its customers. We work with buildings of all types - office, multi-family, retail, and others. Our energy transformation platform tracks energy usage and carbon output in real-time, continually optimizes energy consumption with onsite and grid power sources, and increases the value and flexibility of the built environment with a greener strategy.


Daily Job and Responsibility


- Develop and maintain efficient, reliable, scalable applications and features, adhering to high performance, stability, cost, and code quality standards.

- Collaborate with data scientists to deploy models, implementing continuous improvement measures and ensuring consistent model deployment.

- Build and maintain automated machine learning pipelines, utilizing containerization and orchestration for efficient model management.

- Translate specifications into software designs and develop machine learning, optimization, and analytic algorithms for production environments.

- Gather, clean, and preprocess large datasets from diverse sources, contributing to our data-driven approach.

- Create technical documentation to support software product development using formats like OpenAPI, Markdown, and UML.

- Cooperate on projects:

- Optimization of renewable energy assets

- Demand response programs

- Microgrid modeling and simulations

- Data mining and actionable intelligence

- Decarbonization

- Projects for data acquisition, quality and integrity

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  3. We'll reach out if there's a company interested in talking to you.