Lead Data Scientist
Tasks
- Assess emerging AI technologies
- Build agent workflows
- Collaborate with stakeholders and clients
- Conduct hypothesis testing
- Create data visualizations
- Design and validate statistical models
- Develop AI solutions for business problems
- Develop machine learning models
- Develop predictive models
- Evaluate LLM applications
- Generate business insights
- Guide and mentor junior data scientists
- Perform exploratory data analysis
- Prepare and organize large datasets
- Present findings to technical and non-technical stakeholders
- Present research updates
- Research new data sources
- Translate business challenges into analytics solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | Access | Actuarial Science | Agentic AI | Clustering | Computational Finance | Data Analysis | Data Cleansing | Data Governance | Data Preparation | Data Visualization | Data structuring | Deep learning | Econometrics | Exploratory Data Analysis | Fraud Detection | Huggingface | Hypothesis Testing | LLM Evaluation | Langchain | Langgraph | Language Processing | MLOps | Machine Learning | Model Monitoring | Morbidity | Mortality | Natural Language | Natural Language Processing | OpenAI API | Oracle | Persistency | Prompt engineering | Python | R | RAG | Retrieval-Augmented Generation | SQL | Statistical modeling | Time Series | VBA | Version control
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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