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Head Data Scientist

Resource Innovations

Software & Data

Energy & Utilities NGN Confidential
2 weeks ago

Job Summary

This position is responsible for identifying, architecting, and deploying analytical solutions for our utility, software, and energy efficiency delivery teams. As a result, the ideal candidate will have significant experience at the intersection of programming, statistical modeling, and software development. This is a highly collaborative position and the candidate must be self-directed and comfortable supporting the analytical needs of multiple teams, systems, and products.

  • Minimum Qualification: MBA / MSc
  • Experience Level: Senior level
  • Experience Length: 7 years

Job Description/Requirements

Job Responsibilities

  • Use knowledge of utility data, organizations and priorities to advise clients on data-driven solutions to operational needs, regulatory mandates, and customer outreach.
  • Leverage knowledge of the electricity and gas sector to select appropriate statistical and technical approaches to client challenges.
  • Prepare reports, presentations, tools, and proposals explaining technical analytical methods and results to both technical and non-technical audiences.
  • Familiarity with the full data science stack, with a focus on machine learning, data visualization and communication of complex results to a variety of audiences
  • Write production-level machine learning pipeline code
  • Create and provide guidance on solution architectures including integration with Amazon Web Services (AWS) and /or Azure.
  • Project manage and/or support teams to deliver high quality analysis while remaining on time and on budget.
  • Take initiative to validate and troubleshoot data and statistical models.
  • Coach junior staff to develop their data science skills.
  • Define hiring needs, and support recruiting, hiring, and onboarding of new team members.
  • Lead meetings, conference calls, and email exchanges with clients
  • Track energy industry trends and emerging issues
  • Other duties as assigned.

Job Requirements

  • A Bachelors degree in a quantitative field is required; a Master’s Degree is strongly preferred.
  • A minimum of 7+ years of work experience in one or more of the following disciplines: data science, economics, statistics, public policy with a quantitative focus, or computer science
  • Experience performing advanced customer data analytics, including propensity modeling and high frequency consumption data analysis
  • Substantial work experience in the energy and utilities sector
  • Practical experience in machine learning, applied econometrics and/or statistical program evaluation
  • Real world experience scraping and/or munging large data sets
  • Significant programming experience using R, Python and SQL to build and deploy regression, classification, and other statistical models.
  • Experience building machine learning pipelines.
  • Strong written and oral communication skills
  • Experience with model selection and validation methods
  • Strong data visualization skills
  • Understanding of relational databases and basic architectural principles
  • Experience with AWS and/or Azure to deliver data-driven solutions.
  • AWS certifications are highly preferred.
  • Experience using Tableau or other data visualization software
  • Familiar with the use of version control (e.g. git/GitHub)
  • Project management experience, including supervising junior staff and tracking budgets and deliverables, preferably in a consulting or client-facing environment.

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