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Principal Data Scientist – Discovery

United States, San Francisco - California

SpringCube

Full-time - Principal Engineer

Computer Games

Posted 3 weeks ago

Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading global technology company is creating immersive 3D digital experiences for millions of users worldwide. The organization builds platforms and tools that enable developers and creators to design, share, and monetize interactive experiences. With a focus on community, creativity, and innovation, the company aims to redefine digital interaction and connect people globally through shared, safe, and engaging virtual experiences.

Summary
The Senior / Principal Data Scientist will lead data-driven initiatives to optimize discovery and recommendation systems. This role combines advanced statistical modeling, machine learning, experimentation, and cross-functional leadership to improve user engagement, ecosystem health, and content visibility on the platform.

Responsibilities

  • Lead the development of machine learning solutions and ranking frameworks for key discovery surfaces including Home, Search, Matchmaking, and Notifications
  • Act as the primary scientific advisor to Product and Engineering teams, providing insights that influence product innovation and roadmap decisions
  • Design and execute experiments using causal inference methodologies to measure platform initiatives while accounting for complex network effects
  • Develop frameworks to scale hypothesis generation and experimentation processes in line with platform growth
  • Apply first-principles problem solving to balance visibility of established content with discovery of new user-generated content
  • Translate complex, high-dimensional data into actionable insights for both technical and non-technical stakeholders

Qualifications

  • Advanced degree (Master’s or PhD) in a quantitative field such as Statistics, Computer Science, Physics, Applied Math, or Economics
  • 10+ years of experience (or 6+ with a PhD) in Data Science, Economics, or ML Engineering, specifically with large-scale recommendation systems or user-generated content platforms
  • Expertise in modern data stack tools including Python, R, SQL, Hive, Spark, and Airflow
  • Strong theoretical and practical understanding of Deep Learning
  • Ability to design sophisticated experiments that account for social network effects and two-sided marketplace dynamics
  • Exceptional communication skills with the ability to distill complex problems into concise, actionable insights for executives

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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