Our client is pioneering platform that enables anyone to create a coin in under one minute for free. Since its launch in January, it has become the home of memecoin creation and trading on Solana, and by extension, the entire crypto space. The platform has generated over $550 million in revenue since March 2024, attracting significant attention across the industry.

We are looking for a high-performing Data Scientist who thrives on extracting meaningful insights from complex datasets. This individual will play a key role in analyzing our growing data, directly influencing strategic decisions. The ideal candidate is resourceful, detail-oriented, and proactive, with a strong ability to uncover trends and drive impact. While familiarity with crypto is a plus, it is not required.

We want an experienced, flexible, and driven data scientist with broad expertise rather than a specialist focused on a single area. The role requires autonomy, self-motivation, and the ability to collaborate across teams to measure changes, identify problems, and implement solutions.

Requirements:

Proficiency in Python/R and SQL/BigQuery.
Experience designing, running, and analyzing A/B tests for consumer tech products.
2-3+ years of experience at a startup, scale-up, or FAANG-equivalent company.
Proven ability to take ownership of projects from problem identification to execution and communication of results.
Full-time, in-office role based in NYC (5 days a week).

Preferred:

Experience with crypto and blockchain data.
Strong data visualization skills (Grafana preferred).
Experience with event tracking data (especially FullStory).
Strong background in statistical and causal inference methods.
Experience building data pipelines (Dataform preferred).
Knowledge of Machine Learning techniques.

What We’re Looking For:

Autonomous & Proactive: Someone who identifies and drives projects rather than waiting for tasks to be assigned. This includes working across teams to improve measurement and spotting opportunities for innovation.
Generalist Approach: We seek a well-rounded data scientist rather than someone highly specialized in a single area like ML or non-experimental methods.
Consumer Product Focus: Experience analyzing and optimizing user interactions within an app or website rather than broader fields like finance or healthcare.
Project Ownership: Ability to manage projects end-to-end, from ideation and prioritization to execution and stakeholder collaboration.
Data Visualization & Event Tracking: Ability to build dashboards (Grafana preferred) and analyze consumer funnel data (FullStory experience is a plus).
Statistical & Causal Inference Expertise: Ability to generate insights from non-experimental (observational) data, including econometric modeling and hypothesis-driven experimentation.