QG
COE - Data Scientist in QE
Qualitest Group
Remote · US Full-time $150k – $160k/yr 3w ago
About the role
About
Are you interested in working with the World’s leading AI-powered Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at Qualitest!
We are looking for a Data Scientist in Test to join our growing team in the United States.
Location: US Remote (w/travel)
Top 3 Must Haves
- Proficiency in Python, SQL, and testing frameworks (e.g., PyTest, unittest).
- Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, XGBoost).
- Strong understanding of statistical testing, model validation, and data integrity principles.
Key Responsibilities
- Develop and maintain automated testing frameworks for data pipelines and machine learning models.
- Design and execute test cases to validate statistical models, algorithms, and data transformations.
- Monitor data quality, detect anomalies, and ensure consistency across datasets.
- Collaborate with data scientists, engineers, and QA teams to define test strategies and acceptance criteria.
- Perform exploratory data analysis to uncover hidden issues in data or model behavior.
- Leverage real‑world data and build synthetic datasets to simulate edge cases, stress‑test models, ensure unbiased predictions, and verify data security.
- Coordinate with end users to run human‑in‑the‑loop and A/B tests.
- Document test results, bugs, and performance metrics to support continuous improvement.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
- 3+ years of experience in data science and AI/ML testing.
- Proficiency in Python, SQL, and testing frameworks (e.g., PyTest, unittest).
- Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, XGBoost).
- Strong understanding of statistical testing, model validation, and data integrity principles.
- Familiarity with CI/CD pipelines and version control (e.g., Git, Jenkins).
Preferred Skills
- Experience using Oracle AI Data Platform / Oracle Cloud Infrastructure (OCI) including Medallion architecture.
- Strong mastery of SQL.
- Knowledge of MLOps and model monitoring tools.
- Familiarity with Azure DevOps (ADO) for test management.
- Excellent communication and documentation skills.
Benefits
Why QualiTest?
- Diversity & Inclusion: Over 40% women and around 120 nationalities; a culture that celebrates differences.
- Global Opportunities: Internal rotation and international mobility to grow your career.
- Career Progression: Rapid company growth (tripled employee base since 2021, now >8,000 engineers).
- Flexible Culture: Casual environment with employee events, amenities, and games at Employee Centers.
- 401(k) Matching: Accelerate your savings with company match.
- Healthcare Benefits: Competitive plans with HSA matching if you participate.
- Learning & Development: QCraft platform – 50,000+ courses, 300+ virtual labs, mentorship, leadership programs, professional tribes, sponsored certifications, and more.
- Corporate Wellness: Gym membership paid; earn additional vacation time for gym attendance.
- Referral Bonuses: Client Referral and Employee Referral programs.
- Recognition: Qudos platform for bonuses and spot awards.
- Employee Perks: Discounts on travel, electronics, car insurance, and more.
- Competitive Pay: Salary range $150,000 – $160,000.
Additional Information
- Visit our website: https://www.qualitestgroup.com/
- If you like what you have read, send us your resume and let’s start talking!
Requirements
- Proficiency in Python, SQL, and testing frameworks (e.g., PyTest, unittest).
- Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, XGBoost).
- Strong understanding of statistical testing, model validation, and data integrity principles.
- Familiarity with CI/CD pipelines and version control (e.g., Git, Jenkins).
Responsibilities
- Develop and maintain automated testing frameworks for data pipelines and machine learning models.
- Design and execute test cases to validate statistical models, algorithms, and data transformations.
- Monitor data quality, detect anomalies, and ensure consistency across datasets.
- Collaborate with data scientists, engineers, and QA teams to define test strategies and acceptance criteria.
- Perform exploratory data analysis to uncover hidden issues in data or model behavior.
- Leverage real world data and build synthetic datasets to simulate edge cases, stress-test models, ensure unbiased predictions, and verify data security
- Coordinate with end users to run human in the loop and A/B tests
- Document test results, bugs, and performance metrics to support continuous improvement
Benefits
401k planHSA matchinghealthcare benefitsGym membershipClient Referral ProgramEmployee Referral ProgramQudos platform awardsEmployee Perks discounts
Skills
AWS LambdaCI/CDDockerGitJenkinsMLOpsOracle Cloud InfrastructureOracle AI Data PlatformPythonPyTestSQLTensorFlowunittestXGBoostscikit-learn
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