Lead Data Scientist
Tasks
- Communicate model outputs and business insights
- Deploy and scale machine learning and generative AI applications
- Develop reusable AI frameworks and coding standards
- Ensure responsible AI compliance and governance
- Evaluate emerging AI technologies
- Lead design and development of enterprise AI solutions
- Mentor junior data scientists and AI engineers
- Monitor AI models and drive continuous improvement
- Provide AI solution architecture and model selection guidance
- Run end to end AI product lifecycle
- Support AI talent acquisition and capability building
- Translate business requirements into scalable AI solutions
Perks/Benefits
- Buddy onboarding
- Collective life and accident insurance
- Flexible home office
- Professional development support
- Training and certification pathways
Skills/Tech-stack
APIs | AWS | Agent systems | Agentic AI | Agile | Angular | Azure | Causal Inference | Classification | Cloud platform | Confluence | Experimentation | Forecasting | Golang | Google Cloud | Google Cloud Platform | Java | Jira | Langchain | Langgraph | Language Processing | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | NLP | Natural Language | Natural Language Processing | NoSQL | Node.js | Optimization | Predictive Modeling | Prompt engineering | Python | REST APIs | Recommendation Systems | Regression | Responsible AI | SQL | Scrum | Snowflake | Spark | Statistical Analysis | Tool-Calling | Transformers | TypeScript | Vector Databases | Workflow Orchestration
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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