Senior Product Data Scientist
Description
At Super Technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products. This is a role for a very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.
Responsibilities
- Run deep-dive analyses into customer behaviour, product usage, and commercial performance.
- 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.
- Tackle Ambiguity: Bring structure to chaos, translating broad business challenges into sharp, analytical problems.
Requirements
- SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!).
- 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: Excel at transforming complex analyses into clear, compelling narratives.
- Commercial & Product Acumen: Understand how data connects to business outcomes, product design, and customer behavior.
- Bias for Impact: Care less about perfect models and more about driving measurable change.
- 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/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
- Years of Experience: At least 2+ years of relevant experience.
Benefits
- Competitive compensation & performance-based bonuses
- Open vacation policy & hybrid work flexibility
- Health support, wellness perks & team social budget
