Analyst-Data Science
Tasks
- Apply supervised machine learning and statistical techniques to improve model performance
- Collaborate with product engineering and business stakeholders on deployment monitoring and improvement
- Communicate analytical findings and model outputs through documentation and presentations
- Conduct experiments to optimize prompting retrieval and model selection
- Design and evaluate generative ai workflows using rag embeddings semantic search prompt engineering and structured outputs
- Develop test and maintain predictive models and prospect scoring
- Ensure responsible ai model governance data integrity explainability bias assessment prompt safety monitoring and audit readiness
- Evaluate ai and generative ai performance using quantitative and qualitative metrics
- Execute analytical and data science solutions using statistical techniques and machine learning
- Perform data extraction preparation feature engineering and data quality validation
Perks/Benefits
- N/A
Skills/Tech-stack
ANOVA | Clustering | Data Quality | Embeddings | Feature Engineering | Generative AI | Hypothesis Testing | LLM | Machine Learning | Model Evaluation | Predictive Modeling | Prompt engineering | Python | Regression | Retrieval-Augmented Generation | SQL | Semantic Search | Statistical Analysis | Structured Output | Supervised Learning | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Analyst | Data Analyst | Data Science | Data Science Analyst
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