Staff Data Scientist - Growth & Marketing

Skills

About the Role

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.

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.

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.

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.