Related skills
sql python prompt engineering data pipelines llm📋 Description
- Data Preparation: Prepare and maintain datasets for AI product evaluation.
- AI Model Evaluation: Test agent performance across model versions and prompts.
- Product Intelligence: Analyze request patterns to identify high-demand use cases.
- User Analytics: Identify power users and engagement drivers.
- Workflow Analytics: Optimize the first-time user funnel and retention.
- Cost Optimization: Track quality metrics and token usage; monitor latency.
🎯 Requirements
- 5+ years in data science or analytics with end-to-end ownership.
- Strong Python and SQL skills for large-scale data.
- Expertise in statistics, experimental design, and A/B testing.
- Experience building data pipelines and evaluation frameworks.
- Hands-on with LLM applications, prompt engineering, or AI products.
- Excellent attention to detail and ability to explain findings.
🎁 Benefits
- Collaborative culture and driven team.
- Ownership and responsibility; no one else’s job.
- User-centric focus on delivering value.
- Lean principles enable rapid delivery to market.
- Learning opportunities for growth.
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