Data Scientist (Experimentation & Personalization) at Lingokids

Madrid, ES

true · full_time · Visa sponsorship

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Responsibilities:
- Design and own the experimentation framework: A/B, multivariate and long-term studies with robust measurement plans.
- Develop statistical and causal methods (uplift, multi-touch attribution, interference handling) to evaluate personalization impact.
- Build predictive and causal models to inform targeting, segmentation and engagement strategies.
- Translate experiment results into actionable personalization rules and partner with ML engineers to operationalize them.
- Define and refine success metrics and guardrails to ensure experiments measure meaningful product/customer outcomes.
- Collaborate with analysts, product managers and engineers to embed rigorous methods into discovery and delivery cycles.

Requirements:
- Strong statistical foundation and experience with causal inference, experimental design and complex measurement challenges.
- Proficiency in Python and SQL and familiarity with Databricks/DBT or similar data platforms.
- Hands-on experience designing and analysing A/B and multivariate tests at scale.
- Experience with recommendation or personalization systems and translating statistical findings into product changes.
- Clear communication skills to present complex results to technical and non-technical stakeholders.
- Ability to work cross-functionally and ensure experimental validity in production environments.