Job Requirements

We are looking for a detail-oriented QA Engineer – Data Science to ensure the accuracy, quality, reliability, and consistency of data science solutions. The candidate will be responsible for validating datasets, testing data pipelines, verifying analytical outputs, and evaluating machine learning model results.

The ideal candidate will have robust hands-on experience with Python, SQL, data quality validation, statistical testing, and test automation. Experience validating machine learning workflows, feature engineering, model evaluation metrics, and data drift is highly desirable.

Develop and execute test plans for data science applications, analytical workflows, and machine learning solutions.

Perform data profiling and validate data accuracy, completeness, consistency, uniqueness, and integrity

Write automated data validation scripts using Python and SQL.

Validate data ingestion, transformation, preprocessing, and feature engineering pipelines.

Coverage analyser build, geospatial/coverage modelling, feature engineering, eval framework, SageMaker/Bedrock

Work Experience

5-7Years

📌 Lead Software Engineer (Bengaluru)
🏢 Virtusa
📍 Bengaluru