Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for integral enterprises worldwide.
Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. You’ll help make data a core part of how we build and improve HappyRobot’s products.
You’ll work closely with Product, Engineering, and Machine Learning teams to measure how changes to our models, agents, and product features affect real-world performance. You’ll define meaningful metrics, design experiments, and conduct deeper analyses to understand how our agents create value for clients.
Your work will range from evaluating A/B tests and model changes to analyzing millions of conversations and workflows. You’ll turn complex data into clear insights that influence our product and ML roadmaps.
Design, run, and interpret A/B tests for model changes, prompts, agent behavior, workflows, and product features.
Measure how the performance of our agents affects client outcomes, such as task completion, operational efficiency, response quality, and automation rates.
Connect offline model evaluations with production performance and real-world customer impact.
Conduct deep analyses across conversations, workflows, and product usage to identify opportunities and explain differences in performance.
Partner with Engineering to improve instrumentation, data quality, experimentation systems, and analytical data models.
Build dashboards and self-serve tools that help teams understand product and agent performance.
4+ years of experience in Data Science, Product Analytics, or another highly quantitative product role.
~ Strong experience with experimental design, A/B testing, statistics, causal inference,



and hypothesis-driven analysis.
~ Advanced proficiency in SQL and Python.
~ Ability to translate ambiguous product questions into rigorous analyses and actionable recommendations.
~ Experience partnering closely with Product, Engineering, or Machine Learning teams.
~ Familiarity with ML evaluation systems and the relationship between offline evaluations and online metrics.
Experience analyzing conversational, NLP, speech, or other unstructured data.
Experience combining quantitative analysis with qualitative methods such as conversation reviews, customer feedback, surveys, or user research.
Familiarity with modern analytics infrastructure, data warehouses, experimentation platforms, and business intelligence tools.
Ownership & Autonomy - Take full ownership of projects and ship fast.
Comprehensive Benefits - Healthcare, dental, vision coverage.
We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. exceptional performance is the passing grade.’ We give ownership to those who earn it, and we all hold each other to a high standard. It’s how we build what others think is impossible.
By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.
In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.
If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.
#

📌 Marketing Data Scientist (Barcelona)
🏢 Happyrobot
📍 Barcelona