Senior Data Scientist
Tasks
- Build A B testing and evaluation frameworks
- Collaborate with Security Operations to integrate model outputs into workflows
- Conduct feature engineering and selection
- Design and implement data pipelines for feature extraction and model serving
- Develop, train, and deploy machine learning models
- Extract and structure datasets for training and inference
- Perform model lifecycle management with versioning testing and monitoring
- Present analytical findings to technical and non-technical audiences
- Translate security challenges into data science problems
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Airflow | Anomaly Detection | B testing | BigQuery | Classification | Cloud deployment | Clustering | Dagster | Deep learning | Feature Engineering | GCP | Kafka | Kinesis | Kubeflow | MLOps | MLflow | NumPy | Pandas | Probability | Pub/Sub | PyTorch | Python | RAG | Redshift | Retrieval-Augmented Generation | SQL | Scikit-learn | Snowflake | Statistics | TensorFlow | Threat Scoring | Time Series | Vector Databases
Education
Roles
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