Staff Product Data Scientist
mlabs
Apply & track with Apply EdgeDescription
Data Scientist
Location:
New York
On-site | Full-time
Compensation:
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.
Key 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.
Work Style & Environment
In-Person Collaboration:
This role is based
in-person
at our client's office.
Intensity:
Candidates must be comfortable with unconventional hours and an intense, high-velocity pace where expectations are high and impact is immediate.
Interview Process
Recruiter / HR Call:
Initial screen regarding background and professional motivations.
Hiring Manager Interview I:
A deep dive into technical skills and past project ownership.
Hiring Manager Interview II:
A focused discussion on experimentation, methodology, and problem-solving.
Final Interview:
Comprehensive wrap-up focusing on strategic alignment and role expectations.
Data Scientist
Location:
New York
On-site | Full-time
Compensation:
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.
Key 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.
Work Style & Environment
In-Person Collaboration:
This role is based
in-person
at our client's office.
Intensity:
Candidates must be comfortable with unconventional hours and an intense, high-velocity pace where expectations are high and impact is immediate.
Interview Process
Recruiter / HR Call:
Initial screen regarding background and professional motivations.
Hiring Manager Interview I:
A deep dive into technical skills and past project ownership.
Hiring Manager Interview II:
A focused discussion on experimentation, methodology, and problem-solving.
Final Interview:
Comprehensive wrap-up focusing on strategic alignment and role expectations.