Related skills
sql python rag data wrangling llm📋 Description
- Multimodal analysis for product & design decisions (quant + qual)
- Partner with researchers, designers, and PMs to define schemas and pipelines
- Run analyses: trend analysis, segmentation, and lightweight experiments
- Use LLMs to turn qualitative data into structured representations
- Build small tools and dashboards to keep decisions data-informed
- Help teams frame hypotheses and connect insights to actions
🎯 Requirements
- Strong AI usage: use AI tools while staying rigorous on correctness and privacy
- SQL and data wrangling; translate messy questions into analysis
- Text/qual analysis: transcripts, notes, open-ended feedback
- LLM prompts, structured outputs, tool calls, and retrieval basics
- Builder mindset: prototyping, automations, and lightweight internal tools
- Product sense and stakeholder communication
🎁 Benefits
- Front-row ownership of next-gen analytics in an agentic company
- Mentorship across Product Research, Design, PM, Eng, and AI Lab teams
- Ship Agentic products that influence real product decisions
- Hands-on experience building LLM/agent workflows for stakeholders
- Portfolio of artifacts: narratives, tools, automations
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