Forage AI | Hiring | Data Specialist | India | BigDataKB.com | 2022-09-29

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Job Location: India

Join Forage AI as a Data Specialist (Technical QA). If you’re a detail-oriented, tech-savvy professional who loves working with data, then this is the right role for you! You’ll collaborate with our talented team of engineers who are working at the bleeding edge of data science and data automation.

Responsibilities: 

  • Work with our team of automation engineers and data scientists to ensure we are building high-quality datasets.
  • Perform quality assurance of large datasets using Python and/or SQL programming.
  • Implement automation solutions to make our QA processes more robust and efficient.
  • Highlight trends and exceptions that require fixes.
  • Perform sanity checks and other forms of testing including functional and regression testing.
  • Work closely with our team of developers and offer support where necessary.

Requirements: 

  • Must have at least a bachelor’s degree in a technical field. 
  • Must have at least 1 year of work experience with Python.
  • Familiarity with XPath, regular expressions, or cleansing datasets using Python would be a plus.
  • Excellent attention to detail and proven ability to perform under pressure. 
  • Availability to work at adaptable and flexible hours. 
  • A quick learner with a strong analytical mindset who is tech-savvy and enjoys working with data.
  • An open-minded, motivated self-starter with a positive approach to problem-solving. 
  • An active listener who can effectively translate instructions into action.

Other Infrastructure Requirements: 

Since this is a completely work-from-home position, you will also require the following –

  • High-speed internet connectivity for video calls and efficient work.
  • Capable business-grade computer (e.g., modern processor, 8 GB+ of RAM, and no other obstacles to interrupted, efficient work). 
  • Headphones with clear audio quality. 
  • Stable power connection and backups in case of internet/power failure. 

Apply Here

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