Staff Product Data Scientist
The Staff Product Data Scientist operates at the intersection of product and strategy, owning decision-making, problem framing, and hypothesis generation.
Their work will directly shape how millions of customers engage with Super's products. This role is for a data scientist who loves hard problems, thrives in ambiguity, and gets energised by moving from messy questions to clear decisions that drive strategy.
The individual will be expected to not just report what happened, but to uncover why through causal inference, anticipate what’s next, and produce decision memos that influence what should be done.
They will work in close partnership with Analytics Engineers, who build and maintain production data products. The role is to define what needs to be measured and why, while AE ensures scalable, trustworthy data infrastructure.
- Run deep-dive analyses into customer behaviour, product usage, and commercial performance.
- Go beyond surface-level metrics to uncover causal drivers behind phenomena using rigorous statistical methods.
- Distinguish correlation from cause-and-effect.
- Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions.
- Design and analyse experiments, including A/B tests and quasi-experiments.
- Deliver decision memos that change the course of decisions, with quantified impact ranges and clear "so what" guidance for VP and C-suite stakeholders.
- Design KPI trees and define metric intent.
- Specify requirements for Analytics Engineers to implement certified, production-grade data products.
- Define tracking plans for instrumentation.
- Specify dashboard requirements and acceptance criteria.
- Ensure data capture supports decision-making needs.
- Collaborate with Product Managers, Commercial leaders, Analytics Engineers, and Marketers.
- Lead problem-framing sessions.
- Challenge assumptions and reframe vague requests into testable hypotheses.
- Bring analytical rigour to high-stakes discussions at the Director and VP levels.
- Translate broad business challenges into sharp analytical problems with measurable outcomes by bringing structure to chaos.
- Advanced statistical methods & causal inference: A/B testing, confidence intervals, regression, quasi-experimental designs (difference-in-differences, synthetic controls, regression discontinuity), and an understanding of CUPED and variance reduction techniques (required).
- SQL proficiency for exploratory analysis and data validation (we use Snowflake) (required).
- A track record of producing decision memos, strategy recommendations, or business cases that measurably influenced product and commercial strategy (required).
- Ability to transform complex causal analyses into clear, compelling narratives for VP and C-suite audiences, making evidence accessible and actionable for strategic decision-making (required).
- Commercial & product acumen – understanding of how data connects to business outcomes, product design, and customer behaviour (required).
- Proactive problem framing: ability to reframe vague asks, propose alternative hypotheses, and drive analytical roadmaps based on business priorities (required).
- Minimum 5+ years of relevant experience in analytics, data science, or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth through causal analysis and experimentation (required).
- Degree in Data Science, Statistics, Economics, Computer Science/Engineering, Mathematics, or a related quantitative field, or equivalent work experience (required).
- Medical / Health Insurance (preferred)
- Open Annual Leave (preferred)
- Employee Assistance Programme (preferred)
- Training & Learning Development (preferred)
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.