Related skills
aws python gcp databricks scikit-learn📋 Description
- Build, evaluate, and deploy ML models for cybersecurity risk scoring.
- Perform exploratory data analysis on large, complex datasets.
- Evaluate and validate models for accuracy, robustness, and scalability.
- Collaborate with product managers and engineers to productionize models.
- Contribute to code reviews and data science best practices.
- Stay current on new research and technologies.
🎯 Requirements
- Advanced degree in quantitative field or equivalent experience.
- 5+ years applying data science to real-world challenges.
- Python and ML frameworks (scikit-learn, XGBoost, MLFlow, Databricks).
- Experience with cloud-based data pipelines (AWS, GCP, or similar).
- Solid understanding of ML algorithms, metrics, and deployment.
- Effective communicator and team player with problem-solving focus.
🎁 Benefits
- Competitive salary
- Stock options
- Health benefits
- Unlimited PTO
- Parental leave
- Tuition reimbursement
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