Data Engineer

Description

We are looking for a data engineer who will support our product, sales, leadership, and marketing teams with insights gained from analyzing the largest database of energy consumption data on the planet. You'll engineer tools and solutions that serve the product as well as our sales and marketing teams.

What you'll do

  • Work with our product development team to problem solve and support system maintenance and reliability
  • Strategically plan for the growth and increasing performance requirements of our data storage solutions
  • Develop custom data models and algorithms to apply to our electrical data to expose innovative product improvements and business opportunities
  • Support the business development side of Sapient in order to improve customer experiences, revenue generation, ad targeting, and other business initiatives
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

Skills and requirements

  • 5+ years of experience as a Data Scientist or Data Analyst
  • Understanding of machine-learning and operations research
  • 5+ years with Python in the context of data science and/or machine learning
  • Experience with AWS services and technologies
  • Analytical mind and business acumen
  • Strong math skills (e.g. statistics, algebra)
  • Problem-solving aptitude
  • Excellent communication and presentation skills
  • BSc/BA in Computer Science, Engineering or relevant field

Nice to have

  • Experience using business intelligence tools (e.g. Tableau)
  • Experience with data frameworks (e.g. Hadoop)
  • Experience with AWS in general

This position has been filled!

Thank you for your interest in joining our team. We're always in search of talented individuals who want to help us change the world. This role may be filled, but we're always hiring!

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