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

• Comprehensive benefits package
• Flexible work model
• Work from home flexibility

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