Senior Data Scientist (US)
New York, USA; Philadelphia, Pennsylvania, United States; San Francisco, California, United States
USD 130K-198K (estimate) Senior-level Full Time
Tasks
- Apply machine learning to retention and campaign problems
- Build and validate statistical and machine learning models
- Create reusable documentation and code libraries
- Design end-to-end data science solutions
- Implement generative AI and LLM solutions
- Ingest and transform large datasets
- Lead data science workstreams and guide junior team members
- Participate in internal education and knowledge sharing
- Present results to C level stakeholders
- Scope projects set timelines and manage stakeholder expectations
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Bedrock | Agentic LLM | Azure | CI/CD | Data Visualization | Data Warehousing | DeepEval | Docker | Embeddings | Fine Tuning | GCP | Generative AI | Git | GitHub | GitHub Actions | JAX | LLM | LLM guardrails | Langfuse | Langgraph | Machine Learning | Model Evaluation | Orchestration | Probability | PyTorch | Pydantic | Pydantic AI | Python | RAG | Ragas | Reinforcement Learning | SQL | State management | Statistics | TensorFlow | Tool-Calling | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
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