ph3About HappyRobot /h3 pHappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for integral enterprises worldwide. /p h3About The Role /h3 pYou’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. /p h3What You’ll Do /h3 ul liDefine and track product, feature, and agent-level metrics. /li liDesign, run, and interpret A/B tests for model changes, prompts, agent behavior, workflows, and product features. /li liMeasure how the performance of our agents affects client outcomes, such as task completion, operational efficiency, response quality, and automation rates. /li liConnect offline model evaluations with production performance and real-world customer impact. /li liConduct deep analyses across conversations, workflows, and product usage to identify opportunities and explain differences in performance. /li liInvestigate anomalies and regressions, perform root‑cause analyses, and recommend improvements. /li liBuild statistical models, simulations, and analytical frameworks to support product and ML decisions. /li liPartner with Engineering to improve instrumentation, data quality, experimentation systems, and analytical data models. /li liBuild dashboards and self‑serve tools that help teams understand product and agent performance. /li liCommunicate findings and recommendations clearly to technical and non‑technical stakeholders. /li /ul h3Must Have /h3 ul li4+ years of experience in Data Science,



Product Analytics, or another highly quantitative product role. /li liStrong experience with experimental design, A/B testing, statistics, causal inference, and hypothesis‑driven analysis. /li liAdvanced proficiency in SQL and Python. /li liExperience defining and operationalizing product and feature metrics. /li liAbility to translate ambiguous product questions into rigorous analyses and actionable recommendations. /li liStrong product instincts and the ability to distinguish statistical significance from meaningful product or customer impact. /li liExperience partnering closely with Product, Engineering, or Machine Learning teams. /li liStrong written and verbal communication skills. /li liHigh attention to detail and commitment to analytical accuracy. /li liFounder mindset: ownership, independence, curiosity, and willingness to go deep. /li /ul h3Nice to Have /h3 ul liExperience working with large language models, AI agents, generative AI, or other probabilistic ML products. /li liExperience measuring the production impact of model, prompt, retrieval, or orchestration changes. /li liFamiliarity with ML evaluation systems and the relationship between offline evaluations and online metrics. /li liExperience analyzing conversational, NLP, speech, or other unstructured data. /li liExperience with enterprise or B2B products. /li liExperience combining quantitative analysis with qualitative methods such as conversation reviews, customer feedback, surveys, or user research. /li liFamiliarity with modern analytics infrastructure, data warehouses, experimentation platforms, and business intelligence tools. /li liPrior experience in a fast‑growing startup or other highly ambiguous environment. /li /ul h3Benefits /h3 ul liOpportunity to work at a high‑growth AI startup, backed by top investors. /li liOwnership Autonomy – Take full ownership of projects and ship fast. /li liTop‑Tier Compensation – Competitive salary + equity in a high‑growth startup. /li liComprehensive Benefits – Healthcare, dental, vision coverage. /li /ul /p #J-18808-Ljbffr

📌 Data Scientist (Barcelona)
🏢 Voice AI Space
📍 Barcelona