Product Data Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Product Data Scientist (AI): Analyze and measure the performance of AI agents and product features to drive improvements in enterprise AI workforce orchestration. With an accent on experimental design, causal inference, and large-scale data analysis. Focus on designing and interpreting A/B tests, building statistical models, and delivering actionable insights to product and ML teams.
Location: Hybrid in Barcelona, Spain
Company
is a high-growth AI startup building infrastructure for enterprises to autonomously run operations with AI workers, backed by top investors including a16z and Y Combinator.
What you will do
- Define and track product, feature, and agent-level metrics.
- Design, run, and interpret A/B tests for model changes, prompts, agent behavior, workflows, and product features.
- Measure AI agent performance impact on client outcomes like task completion and operational efficiency.
- Conduct deep analyses of conversations, workflows, and product usage to identify opportunities and explain performance differences.
- Build statistical models, simulations, and analytical frameworks to support product and ML decisions.
- Partner with Engineering to improve data quality, instrumentation, and experimentation systems.
Requirements
- Location: Hybrid work in Barcelona, Spain
- 4+ years experience in Data Science, Product Analytics, or similar quantitative roles.
- Strong skills in experimental design, A/B testing, statistics, causal inference, SQL, and Python.
- Experience defining and operationalizing product and feature metrics.
- Ability to translate ambiguous product questions into rigorous analyses and actionable recommendations.
- Strong communication skills and experience collaborating with Product, Engineering, and ML teams.
Nice to have
- Experience with large language models, AI agents, generative AI, or probabilistic ML products.
- Familiarity with ML evaluation systems and connecting offline evaluations with online metrics.
- Experience analyzing conversational, NLP, speech, or unstructured data.
- Experience with enterprise or B2B products and combining quantitative with qualitative analysis methods.
- Prior experience in fast-growing startups or ambiguous environments.
Culture & Benefits
- Work at a high-growth AI startup backed by top investors including a16z, Y Combinator, and Base10.
- Ownership and autonomy to ship projects quickly.
- Competitive salary plus equity.
- Comprehensive healthcare, dental, and vision coverage.
- Collaborate with a world-class team of engineers and builders.
- Operating principles emphasize extreme ownership, craftsmanship, urgency with focus, talent density, meritocracy, and first-principles thinking.
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