Product / Commercial Data Scientist
Super Technologies is seeking a Product / Commercial Data Scientist to work at the intersection of product, commercial, and marketing strategy. The role involves performing deep-dive analyses into customer behaviour, product usage, and commercial performance to uncover causal drivers behind key trends and inform strategic decision-making. The successful candidate's analyses will directly inform how millions of customers engage with the company's products.
Super Technologies requires a professional who can translate complex business questions into sharp analytical problems, bringing structure to fast-moving projects. The role involves collaborating with Product Managers, Commercial leads, Engineers, Designers, and Marketers, bringing analytical rigour to day-to-day decisions.
- 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.
- 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.
- Define Metrics and KPIs, build dashboards and develop re-useable frameworks that help teams across Super make smarter, faster, data-driven decisions.
- Collaborate with Product Managers, Commercial leads, Engineers, Designers, and Marketers, bringing analytical rigour to day-to-day decisions.
- Translate business questions into sharp analytical problems, bringing structure to fast-moving projects.
- 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 (required).
- SQL fluency (Snowflake) as a non-negotiable foundation (required).
- Solid grounding in statistical/experimental methods (required).
- Comfort with storytelling with data using tools such as Tableau (required).
- Proficient in using AI tools (Claude/Gemini) to accelerate analytics, coding, experimentation, and insight generation, with strong judgment to validate outputs and ensure accuracy (required).
- Degree in Data Science, Statistics, Economics, Computer Science, Mathematics, or a related quantitative field - or equivalent work experience (required).
- Ability to transform complex analyses into clear, compelling narratives for both technical and non-technical stakeholders, making data accessible and actionable for decision-making (required).
- 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 (required).
- A bias for impact: orienting work around driving measurable change rather than model perfection, with success measured by whether analyses move the needle (required).
- 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 (required).
- Medical / Health Insurance
- Open Annual Leave
- Employee Assistance Programme
- Training & Learning Development
- Competitive compensation & performance-based bonuses
- Wellness perks & team social budget
Superbet, which operates under the Super Technologies banner, is a multinational sports betting and gaming group founded in 2008 in Romania by Sacha Dragic. Headquartered in Bucharest, it began with retail betting shops and has grown into one of the leading omni-channel betting operators in Central and Eastern Europe, with a strong focus on digital products. The group employs more than 5,000 people and operates across around a dozen European markets as well as Brazil. Its offices span Romania, Poland, Serbia, the UK, the Netherlands, Belgium, Spain, Croatia, Brazil, Malta and Gibraltar.