Data Scientist - Discovery & Ranking Platforms

The Briefed; San Mateo (CA); On-site; USD 193,000 - 264,000; Full time

Benefits offered by this job

Health, dental, vision insurance

Onsite meals & campus perks

Generous vacation & holidays

401(k) with company match

Job summary

Roblox is seeking a Data Scientist on the Discovery Experiences team to own ranking initiatives powering Home, Search, Matchmaking, and Notifications. You will report to the Senior Director of Data Science and develop ML algorithms, causal inference frameworks, and economic models for our two-sided UGC marketplace.

In this high-visibility role, you will partner with Product and Engineering to influence roadmaps, communicate insights to executives, and drive experiments that improve long-term

Qualifications

• Advanced degree in Statistics, CS, Physics, Applied Math, or Economics.
• 4+ years of DS/ML engineering experience in large-scale recommender/search/UGC platforms (or 2+ years with a PhD).
• Proficient in Python, SQL, Hive, Spark, and Airflow; strong DL fundamentals.
• Experience designing experiments and applying causal inference in complex systems.

Responsibilities

• Own ranking algorithms and ML frameworks powering Discovery surfaces (Home/Search/Matchmaking/Notifications).
• Design and run advanced experiments accounting for network effects and multi-sided dynamics.
• Partner with Product/Engineering and translate models into strategic narratives for leadership.

Skills

4+ years experience in DS/ML

First-principles reasoning

Executive storytelling

Education

Master’s or Ph.D. in quantitative field

Tools

Python

R

SQL

Hive

Spark

Airflow

Deep Learning

Job description

Roblox is seeking a Data Scientist on the Discovery Experiences team to own ranking initiatives powering Home, Search, Matchmaking, and Notifications. You will report to the Senior Director of Data Science and develop ML algorithms, causal inference frameworks, and economic models for our two-sided UGC marketplace.

In this high-visibility role, you will partner with Product and Engineering to influence roadmaps, communicate insights to executives, and drive experiments that improve long-term