Senior Data Scientist
Tasks
- Apply machine learning statistical analysis predictive modeling forecasting optimization
- Build AI assistants agents chatbots copilot solutions
- Build data pipelines and resolve data quality issues
- Create scalable AI and analytics applications
- Design develop deploy enterprise AI solutions
- Design develop maintain analytical data models views datasets
- Design implement APIs web applications self service analytical platforms
- Design semantic search document intelligence knowledge management
- Develop analytical tools and automation platforms
- Develop natural language to SQL solutions
- Develop reusable frameworks and accelerators
- Evaluate emerging AI technologies and lead pilot projects
- Implement data governance and data quality programs
- Present technical concepts solution roadmaps business value to stakeholders
- Translate business requirements into AI and analytical solutions
Perks/Benefits
- 401k match
- Education assistance
- Flexible work schedule
- Health, dental, vision insurance
- Paid Holidays
- Paid time off
Skills/Tech-stack
Agentic AI | Amazon Web Services | BigQuery | CI/CD | Cloud Computing | Cloud platform | Databricks | Embeddings | FastAPI | Gemini | Generative AI | Google Cloud | Google Cloud Platform | Hugging Face | LLMOps | Langchain | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microsoft Azure | Natural Language | Natural Language Processing | OpenAI | Power BI | Python | REST APIs | Retrieval-Augmented Generation | SQL | Semantic Search | Snowflake | Tableau | Vector Databases | Vector Retrieval | Vertex AI | Web Services
Education
Roles
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