Data Scientists
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Job Summary
Design build and optimize predictive models and machine learning algorithms using structured and semi structured data preprocessing feature engineering and model selection independently. Build and maintain automated model pipelines including training validation scoring and model drift detection retraining logic and performance 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 toolsFamiliarity with model performance metrics Hands on in training and evaluating models for binary classification multi class regression or time seriesExposure to deep learning for advanced use casesWorking knowledge of embeddings vector stores or text-based modelsGit-based versioning and reproducible ML workflow setup
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Inside every Virtusan is a spirit defined by the drive to explore new frontiers, an intellectual curiosity, a need to challenge the status quo, and the inspiration to mind the greater good–all while impacting the bottom line. It all adds up to a culture of innovation.
