Staff Data Scientist - Growth & Marketing ($400k - $500k)

Required

• An experienced Data Scientist with significant exposure to paid acquisition, performance marketing or growth analytics within a scaled consumer technology business.
• Highly proficient in Python or R and SQL, with the ability to work independently across large and complex datasets.
• Deeply familiar with the challenges of measuring paid marketing performance, including attribution, incrementality, selection bias and platform-reported metrics.
• Experienced designing and analysing experiments, including geo tests, holdouts, A/B tests or other causal inference approaches used to measure marketing effectiveness.
• Comfortable working with metrics such as CAC, LTV, ROAS, retention, conversion and payback, and understand how those metrics interact across the customer lifecycle.
• Able to move beyond reporting what happened and determine why it happened, what will happen next and what we should do about it.
• Comfortable building data models and lightweight pipelines, ideally with tools such as dbt, Dagster and BigQuery.
• Experienced with data visualisation and dashboarding tools and capable of creating clear, decision-oriented reporting for non-technical stakeholders.
• High-agency and comfortable owning ambiguous, high-impact problems from initial question through to recommendation and implementation.
• An excellent communicator who can work closely with Marketing, Product and Engineering teams and influence decisions through data.
• Strong product and commercial intuition, with an interest in understanding not just marketing performance but the broader behaviour of our users and market.
• Experience with crypto, blockchain or on-chain data is beneficial but not essential.