Technical Director - Data Science (Discovery)

Roblox
San 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 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 tool belt 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 developers.</p> <p><strong>WHY DISCOVERY EXPERIENCES?</strong></p> <p>We're seeking senior data scientists with expertise in machine learning to join our Discovery Experience team. As IC leaders, 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.</p> <p>This role will report directly into the Senior Director of Data Science (Consumer) and will be based at our headquarters in San Mateo, CA (hybrid, onsite days Tues-Thurs).</p> <h3><strong>You Will:</strong></h3> <ul> <li>Develop foundational solutions to scale the hypothesis generation process across key user engagement touchpoints.</li> <li>Contribute directly to the development of ML solutions that power our discovery canvases alongside our sister engineering teams.</li> <li>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.</li> <li>Leverage advanced causal inference methodologies to measure the effectiveness of various initiatives, ranging from Roblox events to social features susceptible to network effects.</li> <li>Conduct exploratory analysis to identify and advise XFN partners on opportunities for strategic investments.</li> <li>Design and implement experiments for new features and communicate results succinctly to non-technical audiences.</li> </ul> <h3><strong>You Have:</strong></h3> <ul> <li>Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields</li> <li>10+ years of industry experience in data science, economics, analytics, or machine learning engineering</li> <li>7+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hi ... (truncated, view full listing at source)
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