Senior Data Scientist, Consumer Apps-Growth & Experiments

Roblox Corporation; San Mateo (CA); On-site; USD 264,000 - 323,000; Full time

Job summary

Roblox Corporation in San Mateo, CA, is seeking an experienced Data Scientist to shape growth across mobile, desktop, console and emerging platforms. You will design experiments, build causal inference models, and partner with product, engineering, and design to translate data into strategy.

The role requires 8+ years in data science, an advanced quantitative degree, and fluency in Python or R, SQL, Spark, and Airflow.

Qualifications

• Advanced degree in a quantitative field (Statistics, Applied Math, CS, etc.)
• 8+ years of data science experience in consumer products
• Proficiency in Python or R, SQL, and large-scale data tools
• Deep expertise in statistics, causal inference, and experimentation
• Proven ability to lead ambiguous, high-impact problems
• Strong cross-functional influence across Product, Eng, Design
• Excellent communication and storytelling for technical and executive audiences

Responsibilities

• Identify platform levers and apply causal methods to impact user behavior and monetization.
• Develop expertise per platform dynamics and advise cross-functional decisions.
• Build visibility into platform performance and set growth targets.
• Design and analyze experiments for launches and iterations.
• Advance measurement approaches beyond traditional A/B testing.
• Elevate data and experimentation rigor across teams with scalable frameworks.
• Build monitoring and diagnostic capabilities for trends and root causes.
• Partner across Data Science, Product, Eng, Growth to translate insights into strategy.

Skills

Causal inference

Experimentation

Measurement methodologies

Cross-functional influence

Data storytelling

Education

Advanced degree in Statistics or related quantitative field

Tools

Python

R

SQL

Spark

Airflow

Job description

Roblox Corporation in San Mateo, CA, is seeking an experienced Data Scientist to shape growth across mobile, desktop, console and emerging platforms. You will design experiments, build causal inference models, and partner with product, engineering, and design to translate data into strategy.

The role requires 8+ years in data science, an advanced quantitative degree, and fluency in Python or R, SQL, Spark, and Airflow.