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?
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.
WHY ECOSYSTEM AND LEARNING PLATFORM?
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.
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.
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.
You Will:
- Develop and support core data science models and production pipelines used across the business.
- Support the development and operations of a centralized platform for time series forecasting and anomaly detection.
- 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.
- Promote and uphold a high bar of technical excellence and enable the 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 identify opportunities to scale experimentation, causal modeling, 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 vertical data science teams, engineering, and product partners.
You Have:
- An Advanced Degree (MSc or PhD) in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields or have equivalent practical experience.
- 4+ years in developing and applying statistical methods, causal inference techniques, experiment design and analysis, time series modeling, or machine learning.
- 4+ years of experience building scalable ETL data pipelines and dashboards.
- 4+ years of experience in data science, machine learning, data engineering, analytics engineering or related fields.
- 4+ years of experience in one or more scripting languages, such as Python.
- Demonstrated ability to lead or build project areas from scratch.
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.