Senior Data Scientist, Product & Growth Analytics
Tasks
- Apply RAG and agentic workflows
- Build LLM query interfaces
- Build anomaly detection pipelines
- Build channel attribution monitoring
- Build cohort analyses and retention models
- Build incrementality frameworks
- Build self serve analytics tooling
- Design and build AI powered analytics tools and systems
- Design and execute A/B tests
- Design pre launch sizing and post launch readouts
- Develop incrementality measurement methodologies
- Evaluate and integrate AI tooling into production
- Lead growth campaign and promotion analytics
- Measure activation engagement and monetization
- Own end to end acquisition channel measurement
- Partner with growth leads and PMs on data storytelling
- Produce statistically rigorous experimentation readouts
- Segment users for growth levers
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Agentic Workflows | Anomaly Detection | Attribution Modeling | B testing | Cohort Analysis | Difference-in-differences | Holdout Tests | LLM APIs | Language Models | Large Language Models | Machine Learning | Prompt engineering | Python | Retention modeling | Retrieval-Augmented Generation | SQL | Statistics | Synthetic control | User Segmentation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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