Principal Staff Data Scientist
Architect advanced machine learning solutions, lead complex initiatives, improve engineering standards, mentor junior engineers, and guide teams in building scalable production-ready systems. Create, deploy, monitor, and optimize models for fraud detection, recommendations, and other large-scale applications.
Responsibilities
- Architect advanced machine learning solutions
- Lead complex machine learning initiatives
- Elevate engineering standards
- Mentor junior machine learning engineers
- Guide teams in building scalable production-ready machine learning systems
- Create, train, and fine-tune machine learning models
- Deploy, monitor, detect drift in, and retrain production models
Requirements
- Advanced degree in statistics, machine learning, or a related area
- Statistics and machine learning expertise
- Experience leading large-scale data science initiatives
- Hands-on experience creating, training, and fine-tuning models
- Production model deployment, monitoring, drift detection, and retraining experience
- Classical machine learning experience in fraud or anomaly detection, recommendation, or churn/LTV
- Supervised learning and transfer learning
- Neural networks
- Basic LLM knowledge
- MLOps foundations including feature stores, experiment tracking, model registries, and continuous training pipelines
- Model serving and inference optimization
- Graph-based fraud detection experience
Benefits
- 100% company-paid medical plans
- 100% company-paid dental plans
- 100% company-paid vision plans
- Unlimited Flexible Time Off