Rarefied talent in big data technology and analytics

Data Science QA Engineer


Job Description


StreamMosaic is a VC-funded startup in San Jose. We’re helping large semiconductor and electronics manufacturers achieve higher yields and tighter process control by implementing ML in their production pipelines. We’re seeking a QA Engineer with Data Science/Statistics  background  to help drive quality  of an enterprise-grade, production-ready, advanced AI platform for the semiconductor and electronics manufacturing industries.  We look for people who are self-motivated and passionate about the transformative potential of AI.


  • Design and implement unit and integrations tests covering machine learning models with variety of data sets
  • Create statistical robustness tests for trained models
  • Create simulated dataset replicating real-world scenarios
  • Debug and define corrective action
  • Create detailed, comprehensive and well-structured test suites using programming languages such as Python or Java
  • Track quality assurance metrics
  • Create UI test automation suites for web based applications


  • MS in Computer Science, Engineering
  • Data science/Statistical analysis background required
  • Proven work experience in software development and quality assurance
  • 5+ years of professional experience as Data Science QA/Software Test engineer
  • Communicates clearly to technical and non-technical audiences
  • Empathy with customer business challenges
  • Ability to map business problems to software and data science techniques
  • Understanding of Data Science/Machine Learning models
  • Ability to debug/troubleshoot large sets of data related issues and formats


  • South San Francisco Bay Area


To apply send resume to lisao@streammosaic.com or visit http://streammosaic.com/were-hiring/#ds-engineer

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Job Location
San Jose, CA
Company Website
Additional Job Details
Employment Type:
Full Time