Job Opportunities API

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. At Super Technologies, data isn't a support function — it's at the heart of every major decision we make. As a  Product / Commercial Data Scientist , you'll work at the intersection of product, commercial, and marketing strategy. Your analyses won't sit in slide decks; they'll directly inform how millions of customers engage with our products. What the role involves Be the Decision Engine Run deep-dive analyses into customer behaviour, product usage, and commercial performance to uncover the causal drivers behind key trends, not just surface-level metrics Shape Strategy with Data Inform product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (including A/B testing and causal inference), and delivering insights that drive key decisions Automate Intelligence Define Metrics and KPIs, build dashboards and develop re-useable frameworks that help teams across Super make smarter, faster, data-driven decisions Partner Across the Business Collaborate with Product Managers, Commercial leads, Engineers, Designers, and Marketers, bringing analytical rigour to day-to-day decisions Tackle Ambiguity Translate business questions into sharp analytical problems, bringing structure to fast-moving projects What we are looking for 2–4 years of relevant experience in analytics and/or product data science roles, ideally in product or commercial domains, with a track record of turning analysis into clear recommendations SQL fluency (Snowflake) as a non-negotiable foundation, with a solid grounding in statistical/experimental methods and comfort with storytelling with data various using tools (Tableau) Proficient in using AI tools (Claude/Gemini) to accelerate analytics, coding, experimentation, and insight generation, with strong judgment to validate outputs and ensure accuracy. Degree in Data Science, Statistics, Economics, Computer Science, Mathematics, or a related quantitative field — or equivalent work experience Skills & mindset The ability to transform complex analyses into clear, compelling narratives for both technical and non-technical stakeholders, making data accessible and actionable for decision-making Good commercial and product instincts: connecting data outputs to business outcomes, product design, and customer behaviour rather than treating analysis as an end in itself A bias for impact: orienting work around driving measurable change rather than model perfection, with success measured by whether analyses move the needle Comfortable framing and running well-defined analyses independently, whilst knowing when to bring a manager or senior data scientist in on more ambiguous or cross-functional questions Why join us? High impact: your datasets will be used daily by teams making product decisions, running experiments, and driving performance Real scale, real problems: handle serious data volumes — millions of events per day, multiple sources, and zero fluff Freedom to shape: influence our data architecture, tooling, and best practices — not just implementing, but building What we offer Medical / Health Insurance Open Annual Leave Employee Assistance Programme Training & Learning Development Competitive compensation & performance-based bonuses Wellness perks & team social budget Additional benefits vary by country and will be shared during the hiring process. About Super We are a global te