What You'll DoWe're seeking an experienced, versatile Data Scientist who thrives in a fast-paced environment. In this role, you'll have the freedom to identify opportunities, design and implement solutions, and measure their impact across our product. You'll collaborate with cross-functional teams while maintaining ownership of your projects from conception to completion.
- Own the measurement and analytics framework for our growing marketing & paid acquisition efforts, helping determine where and how we should deploy significant marketing budgets.
- Develop frameworks for understanding incrementality, attribution, CAC, LTV, ROAS, payback periods and channel efficiency, ensuring we optimise for genuine business impact rather than platform-reported performance.
- Design and analyse experiments across creative, audience, channel, bidding and landing-page strategies to identify what drives incremental user acquisition, engagement and revenue.
- Build models and analytical tooling to understand user quality and predict downstream value across different campaigns, channels, cohorts and acquisition sources.
- Partner closely with Growth and Marketing to turn complex data into clear recommendations on budget allocation, campaign strategy and where to scale or reduce spend.
- Combine advertising platform data with first-party product, behavioural and on-chain data to build a complete view of the acquisition funnel and customer lifecycle.
- Build foundational data models, dashboards and automated reporting that allow teams to understand marketing performance in real time.
- Identify opportunities to improve our marketing data infrastructure, tracking and eventing, working closely with Engineering to ensure we have reliable data from impression through to downstream product behaviour.
- Contribute to the wider Data Science function across product performance, experimentation, user behaviour, ecosystem analysis and competitive intelligence.
Who You Are- 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.
Preferred Qualifications- Experience working with large-scale paid acquisition budgets across channels such as Meta, Google, TikTok, X or other major advertising platforms.
- Experience developing or implementing marketing mix modelling, multi-touch attribution, incrementality testing or other advanced marketing measurement frameworks.
- Experience building LTV, propensity, conversion or user-quality models used to inform acquisition strategy or bidding decisions.
- Experience working with advertising platform APIs, mobile attribution platforms or customer data platforms.
- Experience operating within a high-growth consumer product, marketplace, fintech, gaming or social platform.
- Experience with machine learning methods applied to growth, marketing or user behaviour.
- Experience with crypto, blockchain or on-chain data, or a demonstrated interest in the space.
- Familiarity with data visualisation and modelling tools such as Omni.
What it's like to work here- We work in person
- Hours can be long and unconventional
- The pace is intense
- Expectations are high, and impact is immediate
- Working at Baton is not for everyone
Why Join Us?- Unmatched ownership and autonomy
- Exposure to systems operating at the edge of crypto scale
- The ability to ship fast and see real-world impact immediately
If you're motivated by responsibility, speed, and building products used by massive audiences, you'll feel at home here.
