Staff Data Scientist, Experimentation - Wallapop

OverviewAs Experimentation Lead, you will own Wallapop’s experimentation practice and raise the bar for evidence-based product decisions.You’ll define standards, governance, and a roadmap to accelerate reliable insights across Product, Engineering, Data Science, Analytics, and Leadership.You’ll act as hands-on expert and internal consultant on growth, personalization, search, trust & safety, monetization, and seller experiences.Join a mission-driven team shaping a connected trade ecosystem with scalable experimentation.Compensaciones / BeneficiosGenerous individual learning budgetPrivate Health InsuranceFlexible working hoursRelocation package26 holidays per yearWallapop Renta (tax income support)ResponsabilidadesDefine and harmonize experimentation standards, vision, and governance across the companyLead the development of advanced statistical methods and guardrails to speed and improve decision qualityCoach and partner with Data Analysts, Data Scientists, and PMs on hypothesis design, experiment setup, and metricsBuild and deliver an experimentation curriculum, playbooks, and training for cross-functional teamsCollaborate with Data/Analytics Engineering to improve data infrastructure and exposure loggingDesign experimentation approaches for search ranking, recommendations, personalization, marketplace dynamics, and monetizationRequisitos principales8+ years in data science, product analytics, or causal inferenceat least 4 years focused on experimentation (design, inference, A/B testing, variance reduction)Strong SQL proficiency and experience with Python or RProven ability to partner with Product and influence senior stakeholdersLeadership experience building experimentation cultures and coaching teamsExcellent communication skillsstrong business judgmentcoaching and mentoringcross-functional collaborationSQLPython or Rexperimental design

at least 4 years focused on experimentation (design, inference, A/B testing, variance reduction) Strong SQL proficiency and experience with Python or R Proven ability to partner with Product and influence senior stakeholders Leadership experience building experimentation cultures and coaching teams Excellent communication skills strong business judgment coaching and mentoring cross-functional collaboration SQL Python or R experimental design