Senior Data Scientist
Tasks
- Apply machine learning techniques to identify impactful problems
- Collaborate with product and engineering on data driven decisions
- Deploy trained models to production using SageMaker
- Drive evolution of email threat detection engine
- Engineer scalable feature pipelines from email behavior
- Evaluate and integrate emerging ML and AI advancements
- Extract actionable insights from unstructured email datasets
- Fine tune LLMs for email topic detection and NER
- Mentor junior data scientists and promote ML best practices
- Monitor and maintain model performance in production
- Train models using classical machine learning
- Train neural network models for malicious threat detection
Perks/Benefits
- Always on recognition
- Annual wellness and community outreach days
- Comprehensive benefits
- Flexible work environment
- Global collaboration and networking opportunities
Skills/Tech-stack
AWS SageMaker | Amazon Athena | Anomaly Detection | Apache Iceberg | Apache Spark | Bagging | Boosting | CatBoost | Data Drift | Entity recognition | Feature Engineering | Feature Pipelines | Gradient boosting | Graph Neural Networks | Imbalanced classification | JAX | LLM | Language Processing | LightGBM | Model Drift | NER | Named Entity Recognition | Natural Language | Natural Language Processing | Neural Networks | PyTorch | Python | TensorFlow | XGBoost
Education
N/A
Roles
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