Senior Data Scientist

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).
• 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.

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 Dev Ops (ADO) for test management
• Excellent communication and documentation skills

Galent is an equal opportunity employer. All employment decisions are based on qualifications, merit, and business needs. The company does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, or any other characteristic protected by applicable law.