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.
The Staff Product Data Scientist sits at the intersection of product and strategy, operating as the decision engine for how Super uses data to drive commercial and product outcomes. 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.
Conduct deep-dive analyses into customer behaviour, product usage, and commercial performance, going beyond surface metrics to uncover causal drivers through rigorous statistical methods.
Distinguish correlation from cause-and-effect, delivering decision memos with quantified impact ranges and clear “so what” guidance for senior stakeholders.
Shape Strategy with Data

Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions and designing experiments, including A/B tests and quasi-experiments.
Design KPI trees, define metric intent, and specify requirements for Analytics Engineers to implement certified, production‑grade data products.
Define tracking plans for instrumentation, specify dashboard requirements and acceptance criteria, and ensure data capture supports decision‑making needs.
Collaborate with Product Managers, Commercial leaders, Analytics Engineers, and Marketers, leading problem‑framing sessions and challenging assumptions.
A/B testing, confidence intervals, regression, quasi‑experimental designs (difference‑in‑differences, synthetic controls, regression discontinuity), and familiarity with CUPED and variance reduction techniques.




Proficiency in SQL for exploratory analysis and data validation (Snowflake environment).
Demonstrated track record of producing decision memos, strategy recommendations, or business cases that have measurably influenced product and commercial strategy.
Ability to transform complex causal analyses into clear, compelling narratives for VP and C‑suite audiences, making evidence accessible and actionable.
Strong commercial and product acumen — an understanding of how data connects to business outcomes, product design, and customer behaviour.
Minimum 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.
Degree in Data Science, Statistics, Economics, Computer Science, Engineering, Mathematics, or a related quantitative field — or equivalent professional experience.
Medical / Health Insurance
Training & Learning Development
We are a integral 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. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Super 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). We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives, drive better performance.
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📌 Data Scientist - Machine Learning Specialist (Madrid)
🏢 Super
📍 Madrid