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 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 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.

The mission of the Ecosystem and Learning Platform Data Science team is to empower our data science organization and drive data-informed decision-making at scale. We do so by collaborating within data science and cross-functional partners to solve complex business problems that span multiple areas of the Roblox ecosystem, develop scalable solutions and tools, and advance data science methodologies. Central to our mission is an experimentation and insights platform that provides comprehensive solutions for company-wide experimentation needs, integrates diverse data sources, and offers scalable, accessible data science products that yield actionable insights for product areas across Roblox.

As a member of this team, you will be essential to ensuring the successful execution of hundreds of experiments on the platform. This is an exciting opportunity to collaborate with product data science partners to bring structure and innovative solutions to complex business problems. In the process, you will contribute to building 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!

You Will:

• Provide expert support and guidance for vertical data science teams in experiment design, analysis, and troubleshooting. Proactively find opportunities and implement solutions to streamline analytic operations in experimentation.
• Collaborate with DS and Product teams to develop innovative and scalable solutions to measure ecosystem health, forecast business performance, and identify and quantify complex cause-effect relationships within Roblox ecosystem.
• Promote and uphold a high bar of technical excellence, and enable adoption of technical advances in data science.
• Work closely with engineering and product partners to build scalable data science systems and tools.
• Own the implementation and maintenance of DS self-serve tools, and proactively find opportunities to scale experimentation, causal inference, and analytics insights through tooling and methodology.
• Communicate effectively with technical and non-technical stakeholders to solve problems and influence decisions.
• Cultivate strong partnerships with the data science teams, engineering and product partners.

You Have:

• Possess or pursuing a graduate degree in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields.
• Experience developing and applying statistical methods, causal inference techniques, experiment design and analysis, time series modeling, or machine learning.
• Experience using big data query/processing languages such as SQL, Hive or Spark to transform/manipulate large datasets.
• Proficient in one or more scripting languages, such as Python or R.
• Demonstrated ability to execute on project areas, under the supervision of tech leads

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.

Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted).

You’ll Love: 

• Industry-leading compensation package
• Excellent medical, dental, and vision coverage
• A rewarding 401k program
• Flexible vacation policy (varies by exemption status)
• Roflex - Flexible and supportive work policy 
• Roblox Admin badge for your avatar
• At Roblox HQ: 
• Free catered lunches five times a week and several fully stocked kitchens with unlimited snacks
• Onsite fitness center and fitness program credit
• Annual CalTrain Go Pass

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 for all candidates during the interview process.