Principal Analyst — Data Science
Bengaluru, Karnataka
INR 2771K-4000K (estimate) Senior-level Full Time
Tasks
- Apply Bayesian methods
- Apply regression and mixed effects models
- Apply time to event analysis
- Build and validate statistical and machine learning models
- Define evaluation metrics and guardrails for responsible AI
- Design agentic AI and GenAI workflows with HITL
- Design and execute advanced statistical analyses
- Develop reproducible ETL and data pipelines
- Guide data informed decisions on engagement effectiveness and content impact
- Mentor analysts on statistical and machine learning methods
- Own statistical and AI analytical product design and delivery
- Perform clustering and variable selection
- Set methodological standards for rigor reproducibility and responsible AI
- Translate model outputs into data stories and visualizations
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Bayesian Methods | Claude Code | Clustering | Databricks | ETL | Event analysis | GenAI | GxP | Human-in-the-loop | LLM Frameworks | Machine Learning | Mixed-effects | Mixed-effects models | Python | R | Regression | Reproducible pipelines | SQL | Statistical modeling | Tableau | The Loop | Time to Event | Time to event analysis | Variable Selection
Education
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