Data Science Manager (Madrid)

Data Science Manager (Madrid)

09 oct
|
Super
|
Madrid

09 oct

Super

Madrid

We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.Data Science ManagerData isn't a support function at Super — it sits at the heart of every major decision we make, with our data insights team operating at the intersection of product, commercial, and marketing strategy. We're looking for a Data Science Manager to lead the analytical function that helps our commercial teams understand what's working, why, and what to do next, owning the insights agenda end-to-end — from defining KPIs and building metrics frameworks, to running experiments that test strategic bets,



to developing a team that brings rigour and curiosity to everything they do.What the role involvesAnalytics & Insight DeliveryPartner with commercial teams and analyse complex datasets to shape data-driven strategies and surface actionable insightsBuild metrics frameworks and standardise reporting to define KPIs across marketsExperimentation & Advanced AnalyticsDesign and own the experimentation framework, including A/B testing and causal inference, to ground key decisions in rigorous evidenceApply advanced analytical techniques to identify the most effective solution for each business problemCross-Functional CollaborationCollaborate with Data Engineering, BI, and Data Products teams to enable self‑service analytics and free analysts to focus on higher-impact workAct as the bridge between business requirements and data capabilities to deliver practical, reliable solutionsSet clear objectives for the analytics and insights team and manage delivery against themPrioritise workload and foster a culture of analytical rigour an

📌 Data Science Manager (Madrid)
🏢 Super
📍 Madrid

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