Staff Product Data Scientist - Remote Opportunity

About the Role

It’s an exciting time to join Superbet as a Staff Product Data Scientist in a remote capacity! We’re entering new markets, developing new technologies, and moving step by step towards our goal of exciting the world. As our business grows, the number of exciting people initiatives grows with it, and we’re looking for a new colleague to partner with our team to bring these to life.

What You’ll Do

• Be the Decision Engine: 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.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions. Design and analyse experiments, including A/B tests and quasi-experiments.
• Define Metrics & Specifications: Design KPI trees and define metric intent. Specify requirements for Analytics Engineers to implement certified, production-grade data products.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Analytics Engineers, and Marketers. Lead problem-framing sessions and challenge assumptions.
• Tackle Ambiguity: Super moves fast. You’ll bring structure to chaos by translating broad business challenges into sharp analytical problems with measurable outcomes.

Requirements

• Advanced statistical methods & causal inference: A/B testing, confidence intervals, regression, quasi-experimental designs (difference-in-differences, synthetic controls).
• SQL proficiency for exploratory analysis and data validation (we use Snowflake).
• A track record of producing decision memos, strategy recommendations, or business cases that measurably influenced product and commercial strategy.
• Ability to transform complex causal analyses into clear, compelling narratives for VP and C-suite audiences.
• Understanding of the business context and ability to translate data insights into commercially meaningful recommendations.

Nice to Have

• Experience in the iGaming industry.
• Familiarity with machine learning concepts.
• Knowledge of optimisation techniques.

What We Offer

• Competitive salary ranging from $120,000 to $150,000 annually.
• Fully remote work environment.
• Opportunities for professional growth and development.
• Collaborative and innovative team culture.
• Flexible working hours.