Data Scientist - Analytical Data Product

About Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

Why Data Science & Analytics (DSA)?

The Data Science & Analytics organization’s mission is to increase the speed, frequency, and acumen of decision-making at scale. We treat data as a product. By instilling a data-influenced approach to building global features, we bridge the gap between raw telemetry and strategic product roadmaps. Our team covers the full spectrum of the data lifecycle: analytical data engineering, product analytics, experimentation, and machine learning.

Why Analytical Data Product for Social DSA?

As an Analytical Data Product Scientist, you will own the end-to-end lifecycle of our data assets. You will collaborate with Product Managers, Engineers, and Data Scientists to design and build best-in-class analytical data products. This role is at the intersection of data engineering and product strategy; you will not only build scalable data systems but also ensure they are optimized for discovery, usability, and actionable insights across the organization.

This position is a 3-month temporary role based in our San Mateo HQ office, eligible for overtime pay.

You Will

• Analytical Product Ownership: Design and develop "data-as-a-product" solutions, including foundational datasets and self-service analytics tools that empower product teams.
• Scalable Data Pipelines: Own the development of robust, scalable ETL pipelines that transform raw events into clean, high-fidelity aggregates.
• Telemetry Product Design: Lead the design of logging and telemetry frameworks for new product launches, ensuring data quality is "built-in" rather than "bolted-on."
• Infrastructure & Optimization: Optimize existing data ecosystems into consumable products, reducing latency and increasing the reliability of reporting and research.
• Insight Delivery: Conduct ad-hoc exploratory analysis and create world-class visualizations that translate complex datasets into clear product narratives.

You Have

• An advanced or equivalent degree in Computer Science, Mathematics, Statistics or a related discipline.
• Minimum of 2 years of experience in data engineering, analytical engineering or similar role.
• Strong data engineering skills, including experience with large datasets, telemetry logging, and data pipeline development.
• Strong communication, good judgment, growth mindset to solve new and unique challenges with high independence.
• Experience with metric design, data visualization, including dashboard design and implementation, social product and gaming industry is a plus.

Additional Information

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual hourly rate could fall outside of this expected range. This pay range is subject to change and may be modified in the future. Please note that not all benefits on this page are applicable to this hourly position.

Hourly Pay Range: $126.14—$154.43 USD

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

Key skills/competency

• Data Engineering
• Analytical Data Products
• ETL Pipelines
• Telemetry Design
• Data Quality
• Data Visualization
• Product Analytics
• SQL
• Python/Spark
• Product Strategy