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

# Who Are We Baton Corporation is the development company that builds and operates the entire technology stack behind [](http://pump.fun), the largest memecoin launchpad in production today. The systems are low latency, high throughput, live under constant load, and break if you get them wrong. # What You'll Do We'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.