Staff Product Data Scientist

MLabs•New York, NY

5h•Onsite

About The Position

Our client is a high-performance technology development company responsible for the entire technical stack behind the world’s largest and most active digital asset launchpads. Operating at the absolute edge of crypto scale, the systems managed by this organization are defined by ultra-low latency, high throughput, and constant high-concurrency load. This is a mission-critical environment where technical precision is paramount and the impact of every deployment is immediate. The organization is seeking an experienced, versatile Data Scientist who thrives in an intense, fast-paced setting. This role provides the autonomy to identify high-impact opportunities, design sophisticated analytical solutions, and measure their direct effect on a product used by massive global audiences. Joining this team means entering a high-density talent environment that values first-principles thinking, extreme ownership, and the ability to operate independently within a high-stakes ecosystem.

Requirements

3+ years of Data Science experience within a startup, high-growth scale-up, or FAANG-tier environment.
Advanced proficiency in Python or R, alongside mastery of SQL (specifically within BigQuery environments).
Strong experience in the end-to-end lifecycle of designing and analyzing A/B tests for high-traffic consumer products.
Demonstrated ability to work autonomously, managing entire project lifecycles from ideation to implementation without constant oversight.
Exceptional ability to synthesize data insights into actionable business recommendations.

Nice To Haves

Direct experience with cryptocurrency, blockchain data, or fintech/consumer tech products.
High-level skills in data visualization tools (e.g., Omni, Looker).
Advanced knowledge of causal inference and complex statistical methods.
Experience building and maintaining data pipelines using modern tools such as Dagster or dbt.
Familiarity with ML methods and their practical applications in product environments.
Unmatched Autonomy: Significant freedom to identify projects and see them through to completion.
Scale Exposure: Direct exposure to data systems operating at the frontier of the crypto industry.
High Impact: The ability to ship fast and see real-world results from your work within hours or days.
Elite Peer Group: Opportunity to collaborate with a mission-driven group of builders who hold a high bar for excellence.

Responsibilities

Experimentation & Optimization: Design, execute, and analyze rigorous A/B tests to optimize the consumer product experience and drive user engagement.
Proactive Analysis: Independently identify hidden problems and growth opportunities through deep-dive data exploration.
Insight Visualization: Build and maintain high-fidelity dashboards to track critical KPIs and visualize complex market and user behaviors.
Predictive Modeling: Develop sophisticated models to understand user behavior and predict outcomes in a volatile, real-time environment.
Cross-Functional Collaboration: Partner directly with product and engineering teams to implement data-driven solutions and ensure technical feasibility.
Project Ownership: Drive data initiatives from initial problem identification through to solution implementation and post-deployment measurement.
Technical Communication: Translate complex statistical findings into clear, actionable narratives for both technical and non-technical stakeholders.
Methodological Standards: Help establish and refine the organization’s data best practices and analytical methodologies.