Senior Commercial Data Scientist na Super Technologies

At Super, data isn't a support function — it's at the heart of every major decision we make. As a Senior Commercial Data Scientist, you'll operate at the intersection of product and strategy, owning decision-making, problem framing, and hypothesis generation. Your work won't sit in slide decks; it will directly shape how millions of customers engage with our products. You'll work in close partnership with Analytics Engineers, who build and maintain production data products, whilst your role is to define what needs to be measured and why.

What the role involves

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
• Distinguish correlation from cause-and-effect

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
• Deliver decision memos that change the course of decisions, with quantified impact ranges and clear guidance for Directors

Define Metrics & Specifications

• 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, and ensure data capture supports decision-making needs

Partner Across the Business

• 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 Director level

Tackle Ambiguity

• Translate broad business challenges into sharp analytical problems with measurable outcomes, bringing structure to fast-moving and ambiguous environments

What we are looking for

• 5+ years of relevant experience in analytics, data science, or product data science roles — ideally in product or commercial domains — with a track record of directly influencing strategy and growth through causal analysis and experimentation
• Advanced statistical methods and 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
• SQL proficiency for exploratory analysis and data validation (Snowflake), including the ability to specify requirements for Analytics Engineers

Skills & mindset

• A decision-science orientation: producing recommendations and decision memos that measurably influence product and commercial strategy, with impact measured by outcomes rather than model sophistication
• The ability to transform complex causal analyses into clear, compelling narratives — distilling findings into actionable "so what" guidance for Directors and senior commercial stakeholders
• Strong commercial and product acumen: connecting data outputs to business outcomes, product design, and customer behaviour rather than treating analysis as an end in itself
• A proactive approach to problem framing: reframing vague requests into testable hypotheses, proposing alternative analytical approaches, and driving the analytical roadmap based on business priorities rather than waiting for fully scoped briefs
• The ability to operate effectively in ambiguity — bringing structure to fast-moving, loosely defined business challenges and orienting work around "what should we do?" rather than "what happened?"

What we offer

• Medical / Health Insurance
• Open Annual Leave
• Employee Assistance Programme
• Training & Learning Development

Additional benefits vary by country and will be shared during the hiring process.