Join Roblox as a Senior Data Scientist to architect data-driven solutions for the Creator Platform, leveraging ML and advanced analytics to ensure platform integrity, foster creator success, and shape the future of immersive digital experiences.
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.
The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnering with product verticals, we use this extensive toolbelt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products, and measure impact on our community of players and creators.
At Roblox, the Creator Platform team is responsible for the systems that determine how creators build, publish, earn, and thrive on the platform. As a Senior Data Scientist, you will be the primary strategic data partner across some of the most business-critical and safety-sensitive areas in the creator ecosystem — including creator reputation, publish gating, anti-abuse, rewards, data foundations, and AI enablement.
This is a high-ownership, high-autonomy role. You will work across trust & safety, measurement, data infrastructure, and AI-enabled analytics — owning end-to-end problem framing, model development, and executive-facing recommendations in areas that directly shape platform integrity and creator success.
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 salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
Annual Salary Range
$263,670—$322,820 USD
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Seniority & Breadth: High Senior or Principal-level DS experience, with a track record of owning complex, cross-functional data problems end-to-end — from problem framing and data infrastructure through modeling, experimentation, and executive communication. Proven ability to build, evaluate, and maintain ML models, especially for trust & safety, anti-abuse, or reputation systems. Experience with ecosystem or marketplace settings is a strong plus. Strong statistical rigor, experimentation design, and causal inference skills — ideally applied in complex, mediated settings where simple A/B tests don't tell the full story. Ability to contribute to the data foundation layer for AI — including table documentation, semantic layer design, data contracts, and trustworthy infrastructure for AI-enabled analysis. Deep understanding of agentic and self-serve analytics use cases, including how to turn DS workflows into scalable, AI-enabled products. Familiarity with evaluation frameworks for AI outputs. Expert-level SQL and Python, with enough engineering fluency to work effectively across data pipelines, model outputs, and production-facing systems. Excellent written and verbal communication skills; able to translate technical findings into clear product and business recommendations for senior stakeholders. Experience operating independently in zero-to-one environments — defining the problem, building the data, and owning the answer without a playbook. Ideally, someone who can raise the bar for adjacent DS workstreams through mentorship, code review, and cross-functional partnership. BS, MSc, or PhD in Computer Science, Statistics, Applied Math, or a related quantitative field.
