Data Scientist

Lully

Data Scientist role at HappyRobot to improve AI products through data analysis and experimentation. Collaborate with engineering teams to analyze performance metrics and define project roadmaps.

Posted 7/14/2026full-timeBarcelona • 🇪🇸 SpainMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in SQL and Python for data analysis, with strong experience in experimental design, A/B testing, and causal inference. Capable of translating complex data into actionable insights that drive product and machine learning strategies.

Highest-signal resume keywords

Data ScienceProduct AnalyticsExperimental DesignA/B TestingSQL

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Hard Skills

Data ScienceProduct AnalyticsExperimental DesignA/B TestingCausal InferenceHypothesis-Driven AnalysisSQLPythonDefining MetricsAnalytical Accuracy

Soft Skills

Strong Communication SkillsAttention to DetailOwnershipIndependenceCuriosity

Industry Keywords

Product MetricsMachine LearningStatistical SignificanceProduct FeaturesClient Value

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.
Experience defining and operationalizing product and feature metrics.
Ability to translate ambiguous product questions into rigorous analyses and actionable recommendations.
Strong product instincts and the ability to distinguish statistical significance from meaningful product or customer impact.
Experience partnering closely with Product, Engineering, or Machine Learning teams.
Strong written and verbal communication skills.
High attention to detail and commitment to analytical accuracy.
Founder mindset: ownership, independence, curiosity, and willingness to go deep.

Benefits

Comp & perks

Comprehensive Benefits - Healthcare, dental, vision coverage.
Opportunity to work at a high-growth AI startup, backed by top investors.
Ownership & Autonomy - Take full ownership of projects and ship fast.
Top-Tier Compensation - Competitive salary + equity in a high-growth startup.