Senior Data Scientist / Analyst, Growth

Polymarket•New York, NY

18h

About The Position

Polymarket is seeking a Senior Data Scientist / Analyst, Growth to lead full-funnel Go-To-Market (GTM) analytics for a specific vertical team (e.g., sports, crypto, politics, finance). This role involves embedding within the team to understand user acquisition, conversion, and retention. The individual will be responsible for setting the analytical agenda, guiding marketing spend, and making data-driven decisions. This is a dynamic role in a fast-paced environment with constant new market launches and evolving growth strategies.

Requirements

7+ years in growth, marketing, or product analytics, with a track record of owning a business area end-to-end
Expert SQL. You can go from raw event tables to a defensible answer without help
Deep fluency in full-funnel GTM metrics including CAC, ROAS, payback, conversion rate, retention, LTV, and the judgment to know when each one is misleading
Experience embedded with marketing and product teams as a partner in the work, not a downstream request queue
Comfort with ambiguity. You can scope a vague question into a real analysis and defend the assumptions you made along the way
Strong communication. You can take a complex analysis to a non-technical audience and land the recommendation
Comfortable operating in a fast-moving environment where business logic changes frequently and you need to keep pace

Nice To Haves

Data science background: experimentation design, causal inference, or predictive modeling in Python or R
Genuine interest or expertise in one of our verticals, whether that is sports, crypto, or politics
Experience in fintech, crypto, prediction markets, or other data-intensive financial products

Responsibilities

Own full-funnel analytics for your vertical, from paid acquisition through first trade to repeat engagement, and be the person who can explain what is driving each step
Partner with marketing on spend efficiency including CAC, ROAS, payback period, and channel mix, and make the call on where incremental dollars should go
Size and prioritize growth opportunities within your vertical: which leagues, events, or market types deserve investment, and what the return is likely to look like
Design and read experiments across creative, lifecycle, and onboarding, and hold a clear line on what did and did not work
Build the cohort, funnel, and retention analyses that show how your vertical's users behave differently from the rest of the platform
Be the analytical voice in your vertical's planning, bringing the numbers that set the targets, then hold the team accountable to them
Work with analytics engineers to turn your recurring analyses into durable models rather than one-off queries
Write end-to-end documentation that’s clear and thorough enough that anyone on the team can pick up your analysis without friction