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  • California
  • On-Site
  • Open Position (1)
  • 2023-11-16T18:04

Data / Computer Scientist (entry to mid-level)

Data Scientist Job Description Template. A data scientist is someone who makes value out of data. Such a person proactively fetches information from various sources and analyzes it for better understanding about how the business performs, and builds AI tools that automate certain processes within the company.

Who Is Green Grid.inc
Founded in 2011, Green Grid Inc. (GGI) is a climate-focused technology and technology-enabled professional services business headquartered in San Ramon, CA. Dedicated to sustainability and environmental protection, the company focuses on proven cutting-edge technologies, tools, techniques and solutions to automate critical infrastructure management and field operations and improve operational efficiencies, functionality, safety and uncover new strategies for electrification, decarbonization and nature protection.
What will you do?
  • Bachelor of Engineering (Computer / Telecommunication), Computer Science / Information Technology, Mathematics, Statistics or equivalent.
  • Have at least 2 year of experience in the appropriate field for this position
  • Mastering Python and R.
  • Understand Machine Learning well.
  • Understand the concept of Data Mining well.
  • Good Team work with the team.
  • Can translate and understand scientific papers or jurals.
  • Able to work under pressure.
  • Have good communication skills (oral and written)
  • Able to speak English well (oral and written).
  • Have the ability to solve problems.
  • Honest, responsible and have a good work ethic.
What are we looking for?
  • Presentation Skill of technology products related to data (Data Warehouse, Data Analytics, and Data Visualization)
  • Responsible to Create reports and documentation of customer case analysis
  • Capable to do data retrieval and pre-processing from various sources
  • Understand how to make business case analysis and how to utilize enterprise level data for business insight and give value for the company and for the client.
  • Develop business and machine-learning model from data owned by the company and / or client.
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