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