Coe - Data Scientist In Qe

Qualitest Group

United States
Base: $150,000 - $160,000; bonus/equity: not speci...
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Proficiency in python, sql
Testing frameworks (e.g., pytest, unittest)
Machine learning libraries (e.g., scikit-learn, tensorflow, xgboost)
** Qualitest Group is seeking a Data Scientist in Test to support their AI-powered Quality Engineering initiatives. The ideal candidate should have a strong background in Python, SQL, and machine learning, along with experience in automated testing frameworks. This hybrid role emphasizes collaboration in ensuring data quality and model integrity, with attractive benefits and a supportive company culture. **

Job Summary

  • This hybrid role combines the rigor of software testing with the creativity of data science to ensure the accuracy, reliability, and performance of our data-driven products.
  • You’ll design automated testing frameworks, validate machine learning models, and collaborate with cross-functional teams to uphold the highest standards of data quality and model integrity.
  • Qualitest offers a competitive pay with a salary range of $150,000 - $160,000, along with comprehensive benefits including healthcare, 401k matching, and extensive learning and development opportunities.

Matching Summary

Match Score: 75

** Qualitest Group is seeking a Data Scientist in Test to support their AI-powered Quality Engineering initiatives. The ideal candidate should have a strong background in Python, SQL, and machine learning, along with experience in automated testing frameworks. This hybrid role emphasizes collaboration in ensuring data quality and model integrity, with attractive benefits and a supportive company culture. **

Salary

Base: $150,000 - $160,000; Bonus/Equity: Not specified; Benefits: Competitive healthcare, 401k match, HSA match, Learning & Development platform, Employee Perks

Skills & Requirements

Must-have

  • Proficiency in Python, SQL
  • testing frameworks (e.g., PyTest, unittest)
  • machine learning libraries (e.g., scikit-learn, TensorFlow, XGBoost)
  • statistical testing, model validation
  • data integrity principles
  • CI/CD pipelines and version control

Nice-to-have

  • Oracle AI Data Platform / OCI
  • MLOps and model monitoring tools
  • Azure Dev Ops (ADO)
  • Excellent communication and documentation

Key Requirements

  • Bachelor’s or Master’s degree
  • 3+ years of experience in data science and AI/ML testing
  • Proficiency in Python, SQL, and testing frameworks
  • Experience with machine learning libraries
  • Strong understanding of statistical testing, model validation, and data integrity principles
  • Familiarity with CI/CD pipelines and version control

Work Rights

Not specified

Tailored Resume

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