ppWe 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. /p pThe bStaff Product Data Scientist /b sits at the intersection of product and strategy, operating as the decision engine for how Super uses data to drive commercial and product outcomes. Working in close partnership with Analytics Engineers, this role owns problem framing, hypothesis generation, and the translation of complex analyses into clear, actionable decisions — directly shaping how millions of customers engage with our products. This is a senior individual contributor role for someone who moves from messy business questions to sharp analytical conclusions that influence strategy at the VP and C‑suite level. /p h3What The Role Involves /h3 h3Be the Decision Engine /h3 ul liConduct deep-dive analyses into customer behaviour, product usage, and commercial performance, going beyond surface metrics to uncover causal drivers through rigorous statistical methods. /li liDistinguish correlation from cause-and-effect, delivering decision memos with quantified impact ranges and clear “so what” guidance for senior stakeholders. /li /ul h3Shape Strategy with Data /h3 ul liInfluence product roadmaps, commercial tactics, and marketing strategies by framing the right questions and designing experiments, including A/B tests and quasi-experiments. /li liDeliver evidence-based recommendations that directly change the course of decisions at Director, VP, and C‑suite level. /li /ul h3Define Metrics Specifications /h3 ul liDesign KPI trees, define metric intent, and specify requirements for Analytics Engineers to implement certified, production‑grade data products. /li liDefine tracking plans for instrumentation, specify dashboard requirements and acceptance criteria,



and ensure data capture supports decision‑making needs. /li /ul h3Partner Across the Business /h3 ul liCollaborate with Product Managers, Commercial leaders, Analytics Engineers, and Marketers, leading problem‑framing sessions and challenging assumptions. /li liReframe vague requests into testable hypotheses and bring analytical rigour to high‑stakes discussions. /li /ul h3Tackle Ambiguity /h3 ul liTranslate broad business challenges into sharp analytical problems with measurable outcomes, bringing structure to fast-moving, ambiguous environments. /li /ul h3What We Are Looking For /h3 ul liAdvanced statistical knowledge and applied experience with causal inference methods: A/B testing, confidence intervals, regression, quasi‑experimental designs (difference‑in‑differences, synthetic controls, regression discontinuity), and familiarity with CUPED and variance reduction techniques. /li liProficiency in SQL for exploratory analysis and data validation (Snowflake environment). /li liDemonstrated track record of producing decision memos, strategy recommendations, or business cases that have measurably influenced product and commercial strategy. /li liAbility to transform complex causal analyses into clear, compelling narratives for VP and C‑suite audiences, making evidence accessible and actionable. /li liStrong commercial and product acumen — an understanding of how data connects to business outcomes, product design, and customer behaviour. /li liComfort with ambiguity and a bias towards answering “what should we do?” rather than “what happened?” /li liMinimum 5 years of relevant experience in analytics, data science, or product data science roles (ideally in product or commercial domains),



with direct influence on strategy and growth through causal analysis and experimentation. /li liDegree in Data Science, Statistics, Economics, Computer Science, Engineering, Mathematics, or a related quantitative field — or equivalent professional experience. /li /ul h3What We Offer /h3 ul liMedical / Health Insurance /li liOpen Annual Leave /li liEmployee Assistance Programme /li liTraining Learning Development /li /ul pAdditional benefits vary by country and will be shared during the hiring process. /p h3About Super /h3 pWe are a general technology group, dedicated to building the future of entertainment and fan‑centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology‑driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide. /p h3Shaping the Future of Play /h3 pEverything we do at Super is rooted in doing what is right: for customers, for each other, and for our long‑term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers /p pSuper is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming Betting Association (EGBA). At Super, we operate as a high‑performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance. /p /p #J-18808-Ljbffr

📌 Staff Product Data Scientist (Madrid)
🏢 Super
📍 Madrid