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About the Role

We are seeking a founding hire, a Staff Data Scientist in Marketing Science, to own the mathematics behind our paid growth. This role involves designing and implementing causal measurement, response curves, customer-value models, and optimization strategies for our multi-million-dollar acquisition budget across various platforms. You will be responsible for determining the optimal allocation of marketing spend to maximize profit, designing experiments to validate models, and working closely with the paid acquisition team.

Responsibilities

Build our marketing measurement system, including a Bayesian marketing mix model with adstock and saturation, channel-level response curves, and full uncertainty.
Separate attributed from incremental results by designing and analyzing geo-experiments, conversion-lift tests, holdouts, and synthetic-control studies.
Translate model outputs into budget decisions by estimating marginal ROAS and marginal CAC by channel, and running constrained budget optimization.
Develop LTV, retention, and payback models tied to activation and trading activity to optimize for profit.
Create defensible approaches for measuring newer or opaque channels where lift tooling is thin or missing.
Collaborate with the Head of Paid Acquisition & Performance Marketing to set test roadmaps, define success metrics, and decide on scaling or stopping strategies.
Ship production-quality, versioned, tested, and reproducible code, partnering with Data Engineering on model input requirements.
Explain uncertainty plainly through decision memos for founders and operators, including when further testing is needed.

Requirements

Advanced quantitative training (PhD, MSc, or equivalent depth) in mathematics, statistics, econometrics, physics, or operations research.
4+ years of hands-on experience (including PhD research) with a proven track record of building marketing mix or advertising response models that influenced real budgets.
Hands-on causal inference experience, including designing, running, and analyzing incrementality experiments.
Deep Bayesian modeling expertise, including hierarchical models, justifiable priors, identification, posterior diagnostics, and computational efficiency.
Strong proficiency in Python or R for production environments, including writing model code.
Commercial judgment, with the ability to think in terms of incremental profit, LTV, CAC, and payback, and translate model outputs into actionable recommendations.
A scrappy, high-energy operator mindset, thriving in a fast-paced, resource-lean environment.

Skills

Bayesian marketing mix modeling
Causal inference
Incrementality experiments
Response curve modeling
Customer-value modeling
Budget optimization
LTV modeling
Retention modeling
Payback modeling
Python
R
PyMC
Stan
NumPyro
Meridian

Location

New York (preferred, in-person)
Remote (for exceptional candidates, with strong overlap with US Eastern hours and regular time in New York)

Work Type

In-person
Remote

Experience Level

Staff
4+ years hands-on experience

Education Level

PhD
MSc
Equivalent quantitative training

Salary/Compensations

$200,000 - $300,000
Performance-related compensation: Generous performance bonus; equity or token participation depending on level

Benefits

Benefits and relocation support to be confirmed for this role

About the Company

Baton Corporation builds and maintains pump.fun, a dominant memecoin launchpad processing over $300M in daily volume and generating over $500M in profit last year with a team of fewer than 100 people.
We prioritize shipping to production daily with minimal bureaucracy, solving hard technical and go-to-market problems at scale.
We are data-driven, using systematic tools and the scientific method to guide decisions.
We work in person, with long and sometimes strange hours, and an intense pace. Individuals own their function end to end, with changes reaching hundreds of thousands of users within days.

Equal Opportunity

Baton Corporation is an equal opportunity employer. We do not discriminate on the basis of race, color, creed, religion, sex, national origin, age, disability, marital status, sexual orientation, gender identity or expression, pregnancy, familial status, military or veteran status, citizenship status, genetic information, or any other status protected by federal, New York State, or New York City law.
Reasonable accommodation is available for applicants and employees with disabilities upon request.
In accordance with the NYC Fair Chance Act and New York State law, Baton Corporation does not inquire about criminal conviction history prior to a conditional offer of employment.