AI & Data Scientist
Tasks
- Build data pipelines and models for experimentation and personalization
- Build data quality validation and analytics coverage
- Create embedding and semantic retrieval components
- Design analytics pipelines aligned with product strategy
- Develop dashboards and semantic layers for self service analytics
- Drive proactive insight led decision making
- Integrate AI driven capabilities into product intelligence
- Lead deep dives and knowledge sharing
- Leverage advanced analytics to reduce manual reporting
- Promote AI enabled analytics workflows
- Translate product questions into hypotheses and data models
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | B testing | Cohort Analysis | Data Modeling | Data Quality | Embeddings | Experimental Design | Forecasting | LLMs | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Personalization | Probability | PySpark | Python | Regression | SQL | Segmentation | Semantic Search | Statistics
Education
Master of Engineering | Master of Science | Master of Science in Computer Science | Master of Science in Data Science
Roles
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