Technical Director - Data Science (Discovery)

Roblox
San Mateo, CA, USA2025-11-06

About the job

We're seeking senior data scientists with expertise in machine learning to join our Discovery Experience team. As IC leaders (individual contributors with a large span of influence), you'll drive strategic decisions for user growth and product innovation, leveraging all data science toolkits (analytics, experimentation, forecasting, and ML solutions) to improve end-to-end consumer journeys on Roblox. The roles will primarily focus on Discovery Experiences. Discovery surfaces (i.e. home, search, matchmaking, notifications) are critical to fostering engagement and long-term relationships with our platform. The complex network of our two-sided marketplace, combined with the ever-evolving metaverse, presents exciting challenges.

Responsibilities

Develop foundational solutions to scale the hypothesis generation process across key user engagement touchpoints.

Contribute directly to the development of ML solutions that power our discovery canvases alongside our sister engineering teams.

Partner closely with Product and engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions and machine learning prototypes.

Leverage advanced causal inference methodologies to measure the effectiveness of various initiatives, ranging from Roblox events to social features susceptible to network effects.

Conduct exploratory analysis to identify and advise XFN partners on opportunities for strategic investments.

Design and implement experiments for new features and communicate results succinctly to non-technical audiences.

Qualifications

Minimum

10+ years of industry experience in data science, economics, analytics, or machine learning engineering

7+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow

Knowledge of ML and Deep Learning either via formal training or industry experience

Ability to apply creative first-principles reasoning to solve ambiguous problems

Experience developing large-scale recommendation systems as well as experience with content platforms, specifically user-generated content

Preferred

No preferred qualifications listed.