Senior Data Scientist
Tasks
- Apply statistical methods to interpret results and validate insights
- Build Retrieval-Augmented Generation architectures
- Build and maintain data science pipelines on cloud platforms
- Collaborate with engineering and product teams on production deployment
- Deploy machine learning models to production with MLOps
- Develop and deploy generative AI solutions for customer onboarding
- Evaluate model performance and impact
- Implement agentic workflows
- Lead machine learning model design development and deployment
- Select appropriate modeling approach for business problems
Perks/Benefits
- 401k match
- Flexible time off
- Leadership training
- Learning and development opportunities
- Medical, dental, and vision insurance
- Onboarding program
- Telehealth
Skills/Tech-stack
AI Studio | Agentic Workflows | Azure | Azure AI | Azure AI Studio | C# | Causal Inference | Experimental Design | Generative AI | Guardrails | Hypothesis Testing | LLM Evaluation | LightGBM | MLOps | Machine Learning | PyTorch | Python | RAG | SQL | Scikit-learn | Transformers | XGBoost
Education
N/A
Roles
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