Senior Product Data Scientist - Remote

About the Role

It’s an exciting time to join Superbet as a Senior Product Data Scientist. In this remote role, you will be at the forefront of our data-driven decision-making process, influencing how millions of customers engage with our products. 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 the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference, etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions — you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

Requirements

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable. You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engineering, Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: At least 2+ years of relevant experience.

What We Offer

• High Impact: Your datasets will be used daily by teams making product decisions, running experiments, and driving performance.
• Real Scale, Real Problems: Handle serious data volumes — millions of events per day, multiple sources, and zero fluff.
• Freedom to Shape: Influence our data architecture, tooling, and best practices. You’re not just implementing — you’re building.
• Solid Benefits: Competitive compensation & performance-based bonuses, open vacation policy & hybrid work flexibility, health support, wellness perks & team events.