senior-data-scientist
Statistical modeling, experimentation, causal inference, and production ML systems for data-driven decision-making.
- Covers experiment design, A/B testing, feature engineering, model evaluation, and causal analysis with Python, R, SQL, and Scala
- Includes production patterns for scalable data processing, ML model deployment, and real-time inference with monitoring and drift detection
- Supports MLOps best practices: automated retraining, feature stores, model serving, canary deployments, and comprehensive logging
- Tech stack spans PyTorch, TensorFlow, Scikit-learn, Spark, Airflow, Kubernetes, and cloud platforms (AWS/GCP/Azure)
Senior Data Scientist
World-class senior data scientist skill for production-grade AI/ML/Data systems.
Quick Start
Main Capabilities
# Core Tool 1
python scripts/experiment_designer.py --input data/ --output results/
# Core Tool 2
python scripts/feature_engineering_pipeline.py --target project/ --analyze
# Core Tool 3
python scripts/model_evaluation_suite.py --config config.yaml --deploy
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