Principal Data Scientist
Austin, TX, United States
USD 140K-200K (estimate) Senior-level Full Time
Tasks
- Advance machine learning initiatives including real time low latency inference
- Architect and deliver retrieval augmented generation and agent workflows
- Create data science and AI roadmaps
- Define scalable reliable maintainable architectures
- Design and build end to end machine learning systems
- Develop data ingestion feature generation model training evaluation deployment monitoring pipelines
- Lead production readiness testing version control
- Set data science engineering best practices
- Translate business strategy into technical execution
Perks/Benefits
Skills/Tech-stack
CI/CD | Causal Inference | Data Pipelines | Forecasting | Language Models | Language Processing | Large Language Models | Low Latency | Low-Latency Systems | MLOps | Machine Learning | Natural Language | Natural Language Processing | Python | Real Time | Real-time Inference | Recommender Systems | Retrieval-Augmented Generation | SQL | Supervised Learning | Unsupervised Learning | Version control
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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