Staff Product Data Scientist
Superbet
Amsterdam Area
11 Mar 2026
Amsterdam Area
11 Mar 2026
Staff Product Data Scientist
Staff Product Data Scientist role at Super, a global technology company in the entertainment industry. Requires 5+ years of experience in analytics/data science with expertise in causal inference, statistical methods, and influencing product/commercial strategy through decision memos. Hybrid work model in Amsterdam Area.
Hybrid
Full-time
Principal
Advanced Statistical Methods & Causal Inference
A/B Testing
Salary
Not specified
Core Qualifications
Technical (Must-have)
Advanced statistical methods & causal inferenceA/B testingconfidence intervalsregressionquasi-experimental designsdifference-in-differencessynthetic controlsregression discontinuityCUPEDvariance reduction techniquesSQL proficiency
Soft Skills
Decision Science MindsetExecutive CommunicationCommercial & Product AcumenProactive Problem Framingthrives in ambiguitybrings structure to chaoscollaborationlead problem-framing sessionschallenge assumptionsanalytical rigour
Tools (Must-have)
Snowflake
Key Responsibilities
- 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
- Tackle ambiguity by translating broad business challenges into sharp analytical problems with measurable outcomes
Product Data ScientistEntertainmentData ScienceCausal InferenceStatisticsSQLSnowflakeHybridAmsterdamStrategy