Data Science Hacker

About Us

We are a stealth startup on a mission to revolutionize relationship technology and redefine how people connect, communicate, and build meaningful relationships. Our goal is to create a world where technology deepens human connection—not replaces it—by blending AI, data, and human-centered design to reimagine the relationship experience.

Role Overview

As our Data Science Hacker, you will transform data and research into products and experiences that foster trust, compatibility, and meaningful connection. You will work closely with product, engineering, and growth to design experiments, develop models, and translate human behavior into actionable insights.

You Will

• Design and analyze experiments to improve user engagement, matching, and retention.
• Build predictive models and recommendation systems that enhance the user experience.
• Conduct research into relationship dynamics, user behavior, and platform health.
• Create dashboards and metrics that inform product and growth decisions.
• Partner with engineering to deploy data-driven features and continuously improve them.

Who You Are

• Experienced in data science, machine learning, analytics, or a related field.
• Comfortable moving from research and analysis to implementation.
• Curious about human relationships, psychology, and the ethical use of data.
• Resourceful, analytical, and eager to build in an early-stage environment.

Key Responsibilities

• Research & Insight: Translate data and human behavior into strategic opportunities.
• Model Development: Design and deploy algorithms that improve matching and engagement.
• Experimentation: Lead A/B tests and measure their impact.
• Data Infrastructure: Help establish the foundations for analytics and reporting.
• Collaboration: Work across product, engineering, and growth to deliver meaningful outcomes.

Compensation

This is an equity-based, founding-team opportunity with meaningful ownership and the chance to define the future of relationship technology.

Who This Role Is For

• You love using data to solve deeply human problems.
• You thrive in ambiguity and enjoy building from scratch.
• You believe technology should strengthen, not replace, genuine connection.