Data Scientists
Job Description
Data Scientists:
Design, build, and optimize predictive models and machine learning algorithms using structured and semi structured data.
Perform data preprocessing, feature engineering, and model selection independently. Build and maintain automated model pipelines including training, validation, scoring, and monitoring.
Implement model drift detection, retraining logic, and performance diagnostics.
Conduct code-based model explainability support documentation for governance review Advanced proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, LightGBM)
Strong command of SQL and handling large datasets
Experience deploying models using MLflow, Airflow, Docker, or similar tools
Familiarity with model performance metrics
Hands on in training and evaluating models for binary classification, multi class, regression, or time series
Exposure to deep learning for advanced use cases
Working knowledge of embeddings, vector stores, or text-based models
Git-based versioning and reproducible ML workflow setup
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth -- one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
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Job Detail
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Job IdJD1954368
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationDoha, DAW, QA, Qatar
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EducationNot mentioned