Staff Data Scientist - Growth & Marketing

Baton Corporation is seeking an experienced Data Scientist to own measurement and analytics for paid acquisition and marketing. The role combines advertising, product, behavioral, and on-chain data to improve campaign efficiency, understand user quality, guide budget allocation, and support broader data science initiatives. The position is performed in person in an intense, high-ownership environment.

Responsibilities

• Own the measurement and analytics framework for marketing and paid acquisition.
• Develop frameworks for incrementality, attribution, CAC, LTV, ROAS, payback periods, and channel efficiency.
• Design and analyze experiments across creative, audience, channel, bidding, and landing-page strategies.
• Build models and analytical tooling to predict downstream user value and quality.
• Partner with Growth and Marketing on budget allocation and campaign strategy recommendations.
• Combine advertising, first-party product, behavioral, and on-chain data across the acquisition funnel.
• Build foundational data models, dashboards, and automated real-time reporting.
• Improve marketing data infrastructure, tracking, and eventing with Engineering.
• Contribute to product performance, experimentation, user behavior, ecosystem analysis, and competitive intelligence.

Requirements

• Significant experience in paid acquisition, performance marketing, or growth analytics within a scaled consumer technology business.
• Strong proficiency in Python or R and SQL.
• Deep understanding of attribution, incrementality, selection bias, and platform-reported marketing metrics.
• Experience designing and analyzing geo tests, holdouts, A/B tests, or other causal inference approaches.
• Comfort with CAC, LTV, ROAS, retention, conversion, and payback metrics.
• Ability to build data models and lightweight pipelines, ideally using dbt, Dagster, and BigQuery.
• Experience with data visualization and dashboarding for non-technical stakeholders.
• Ability to own ambiguous, high-impact problems from initial question through implementation.
• Excellent communication and cross-functional collaboration skills.
• Strong product and commercial intuition.
• Experience with large-scale paid acquisition budgets and major advertising platforms is preferred.
• Experience with marketing mix modeling, multi-touch attribution, incrementality testing, or advanced marketing measurement is preferred.
• Experience building LTV, propensity, conversion, or user-quality models is preferred.
• Experience with advertising APIs, mobile attribution platforms, customer data platforms, or machine learning for growth is preferred.
• Experience with crypto, blockchain, or on-chain data is beneficial but not required.

Benefits

• Unmatched ownership and autonomy.
• Exposure to systems operating at the edge of crypto scale.
• Ability to ship quickly and see immediate real-world impact.