Senior Data Scientist
Tasks
- Automate operational workflows with ML
- Build production machine learning models
- Collaborate with product and engineering stakeholders
- Create automated training and retraining workflows
- Develop NLP and LLM extraction pipelines
- Diagnose offline to production model gaps
- Make build versus buy architecture decisions
- Mentor data scientists and engineers
- Monitor model drift and performance degradation
- Own ML lifecycle including deployment and monitoring
Perks/Benefits
- Collaborative inclusive work environment
- Home office setup
- Medical benefits
- Mental wellness support
- PTO
- Professional development
- Technology reimbursement
- Volunteer days
Skills/Tech-stack
AWS EC2 | AWS S3 | Apache Airflow | Classification | Entity recognition | Grafana | Kafka | Language Models | Language Processing | Large Language Models | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Observability | Pandas | Python | Regression | SQL | Scikit-learn | Series forecasting | Time Series | Time Series Forecasting
Education
N/A
Roles
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