This position works closely with business stakeholders to develop and execute on data intensive projects, understand project and use case goals, determine how data can be used to achieve those goals, Responsible for extrapolating and sharing these insights and helping the Company solve complex technology problems by combining computer science, modeling, statistics, analytics, and math skills-along with sound business sense to uncover innovative solutions and help Networks make informed, objective business decisions. Immediate responsibilities will be to support building the NY Integrated Energy Data Resource ("IEDR") platform solution, incorporating associated Data Access Framework ("DAF") Order requirements, for NYSEG and RG&E. The principal data scientist will assist the IEDR implementation team to develop, design, implement, test and commission (Phase I prior to July 2023 and Phase II prior to December 2025) RGE & NYSEG's technology solution of the NY IEDR statewide data sharing platform as defined in the Order to Case #20-M-0082.
This position reports to the Networks Program Director, Smart Grids Innovation (IEDR, enterprise data analytics) with an initial focus in NY for NYSEG and RG&E to execute on all matters of the IEDR Order. Supports the Program Director for all data intensive requirement and provides strategic direction and initiates action plans and assignments to accomplish data intensive project goals, working with various business unit team members, and functional leaders across the enterprise. This position may require occasional travel as needed to support project team deliverables and team engagement, data intensive project management responsibilities and for general team priorities.
Major Roles & Responsibilities
The Principal Data Scientist will be responsible for the overall delivery and tracking of the technical predictive components of the use case.
Support the Scrum Master in creating user stories in alignment with the objective of the use case.
Collaborate with Product Owners to resolve issues and gaps in creating and completing user stories.
Responsible for review of functional solution, and in particular if the flow of the Data Science pieces adequately caters to the overall solution design.
Collaborate with use-case Product Owner/ Business Analysts/ Data Analysts to translate their problem into a Data Science problem including but not limited to:
Researching academic papers and industry solutions, as well as adapting and blueprinting said research into a specific solution design (very scientific).
Working with contractor Data Scientists to validate the CRISP-DM cycles' outputs, ensuring quality and reliability of the model.
Ensuring the data architecture model is up-to-date, and collaborating with the use-case Data Engineers/ Tech Lead to ensure previously developed data models are reused or adapted, i.e. minimize reworks.
Providing on-going direction to the Data Science team (including contractors), and quickly adapting solution design according to the needs/ changing requirements of the project.
Management of vendors, helping solve blockers, and vetting quality of deliverables.
Responsible for ensuring vendors are aligning and following the Big Data Analytics proposed development framework, as well as industry best-practices.
Responsible for providing a bridge between Data Science artifacts and the Data Engineering processes running models on the cluster.
Work on providing tools for a more efficient Data Science process:
Aligning and tracing industrialized .jar files (Scala) with Data Science models built (and the data employed to build them), so experiments are reproducible.
Collaboration across use-case development, and re-utilization of code pieces and libraries, creating synergies.
Active management of models (both developed but not deployed and those in PROD).
Close the gap between Data Science technical development and Business goals.
Job Requirements
Education & Experience Required:
Bachelor's degree in Software Engineering, Computer Science, IT (Information Technology), Statistics and Math, Social Science or related degree is required, Master's degree preferred
Minimum 4 years of direct experience in data science or related field including but not limited to data analysis, assessment and modeling
Proven ability to analyze large datasets to derive meaningful insights from available data.
Experience leading enterprise multi-utility, cross-functional, and cross-cultural teams
Preferences:
Employment experience with a Gas or Electric utility is a plus.
Knowledge of Agile development methodology is a plus.
Skills/Abilities:
Must be able to perform in a fast-paced environment handling multiple competing priorities while effectively leading a team and dealing with ambiguity.
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Competencies
Be a role model
Be agile
Collaborate and Share
Develop Self & Others
Empower to grow
Focus to achieve results
Technical Skills
Mobility Information
Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country
Avangrid employees may be assigned a system emergency role and in the event of a system emergency, may be required to work outside of their regular schedule/job duties. This is applicable to employees that will work in Connecticut, Maine, Massachusetts, and New York within AVANGRD Network and Corporate functions. This does not include those that will work for Avangrid Renewables
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