MLabs

Staff Product Data Scientist

New York, New York, United States · Staff+ · Full-time

No sponsorshipDetected 23 days ago

PythonSQLBigQueryMachine LearningData EngineeringData ScienceData VisualizationA/B TestingCommunicationCollaboration

About the role

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.
The organization is seeking an experienced, versatile Data Scientist who thrives in an intense, fast-paced setting.

Experimentation & Optimization: Design, execute, and analyze rigorous A/B tests to optimize the consumer product experience and drive user engagement.
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.
Design, execute, and analyze rigorous A/B tests to optimize the consumer product experience and drive user engagement.
Build and maintain high-fidelity dashboards to track critical KPIs and visualize complex market and user behaviors.
Develop sophisticated models to understand user behavior and predict outcomes in a volatile, real-time environment.
Partner directly with product and engineering teams to implement data-driven solutions and ensure technical feasibility.
Drive data initiatives from initial problem identification through to solution implementation and post-deployment measurement.

Candidates must be comfortable with unconventional hours and an intense, high-velocity pace where expectations are high and impact is immediate.
Advanced proficiency in Python or R, alongside mastery of SQL (specifically within BigQuery environments).
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.
Advanced knowledge of causal inference and complex statistical methods.
Familiarity with ML methods and their practical applications in product environments.
The ability to ship fast and see real-world results from your work within hours or days.
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.
Intensity: Candidates must be comfortable with unconventional hours and an intense, high-velocity pace where expectations are high and impact is immediate.

Domain Expertise: Direct experience with cryptocurrency, blockchain data, or fintech/consumer tech products.
Advanced Visualization: High-level skills in data visualization tools (e.g., Omni, Looker ).
Statistical Rigor: Advanced knowledge of causal inference and complex statistical methods.
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.
If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion.
We genuinely appreciate your interest and wish you the best in your job search.

Competitive 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.

Machine Learning: Familiarity with ML methods and their practical applications in product environments.

At MLabs, we are committed to offer equal opportunities to all candidates.
If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
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This listing is sourced directly from MLabs's careers page and normalized into a canonical job model.