Senior Data Scientist - Ecosystem and Learning Platform
RobloxSan Mateo, CA, United StatesPosted 24 February 2026
Job Description
<div class="content-intro"><p><span style="font-weight: 400;">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. </span></p>
<p><span style="font-weight: 400;">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.</span><strong> </strong><span style="font-weight: 400;">We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. </span></p>
<p><span style="font-weight: 400;">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.</span></p></div><p><strong>WHY DATA SCIENCE ANALYTICS?</strong></p>
<p>The Data Science Analytics organization's mission is to increase our speed, frequency, and acumen in 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 partnered with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and craft the product roadmap, and prioritize, build data products, and measure impact on our community of players and developers.</p>
<p><strong>WHY ECOSYSTEM AND LEARNING PLATFORM?</strong></p>
<p>The mission of the Ecosystem and Learning Platform Data Science team is to empower vertical data science teams and drive data-informed decision-making at scale. We do so by collaborating with vertical data science and cross-functional partners to solve complex business problems that span multiple areas of the Roblox ecosystem, develop scalable data science solutions and tools, and advance data science methodologies. </p>
<p>Central to our mission are platformized tools that provide comprehensive solutions for company-wide experimentation, forecasting and anomaly detection needs, integrate diverse data sources, and offer scalable, accessible data science products that yield actionable insights for product areas across Roblox. As a member of this team, you will collaborate with product data science partners to develop and support core data science and machine learning models, and build platform solutions that streamline the model development and deployment process. </p>
<p>You will also collaborate with product data science and cross-functional partners to bring structure and innovative solutions to complex business problems. In the process, you will help build cutting-edge methodologies and tools that advance data science within our company and set industry standards. If you are a self-starter who is curious and passionate about leveraging big data to create tangible business value and thrive in a dynamic, collaborative, and innovative environment, this is the place for you.</p>
<h4>You Will:</h4>
<ul>
<li>Develop and support core data science models and production pipelines used across the business. </li>
<li>Support the development and operations of a centralized platform for time series forecasting and anomaly detection. </li>
<li>Collaborate with data science and product partners to develop innovative and scalable solutions to measure ecosystem health, forecast business performance, and identify and quantify complex cause-and-effect relationships within the Roblox ecosystem. </li>
<li>Promote and uphold a high bar of technical excellence and enable the adoption of technical advances in data science. </li>
<li>Work closely with engineering and product partners to build scalable data scienc ... (truncated, view full listing at source)
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