Data Scientist, Creator Content at Roblox

San Mateo, California, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Jan, 26

Salary

258500.0

Posted On

23 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Statistical Modeling, Machine Learning, SQL, Python, R, Data Pipelines, A/B Testing, Econometric Techniques, Causal ML, Data Storytelling, Cross-Functional Collaboration, Product Strategy, Dashboard Development, Deep-Dive Analysis, User-Generated Content

Industry

Software Development

Description

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. As a Data Scientist supporting the Creator Content Engineering team, you will shape the future of Roblox’s creator ecosystem by bringing rigorous analysis, experimentation, and data engineering to some of the most strategic areas of the platform—including asset creation, music, and IP infrastructure. You will report to the Director of Data Science for Creation Products and you will partner closely with product and engineering leads to define success, design and evaluate experiments, and generate insights that directly inform product strategy and execution. You’ll also build and maintain the pipelines and dashboards that scale data access and ensure the team has the analytical foundations to make high-impact decisions at speed. You will: Design, implement, and analyze A/B experiments and quasi-experimental studies to evaluate the impact of new product features and platform changes. Partner with product managers and engineering leads to define key success metrics, evaluate tradeoffs, and translate analytical findings into clear, actionable product recommendations. Build, maintain, and scale reliable data pipelines and dashboards to ensure accurate and timely visibility into team metrics and platform health. Conduct deep-dive analyses on creator behavior, asset usage, and platform dynamics to identify opportunities for product innovation and optimization. Leverage econometric techniques and machine learning methods to uncover deeper insights, measure causal impact, and generate strategic recommendations that guide product direction. Collaborate cross-functionally with engineering, product, and other data teams to drive alignment on measurement strategy, data definitions, and analytical priorities. Communicate complex analytical findings clearly and persuasively to technical and non-technical stakeholders, enabling data-informed decision-making at all levels of the organization. Contribute to the design of scalable data and experimentation frameworks that support the growth of Roblox’s asset, music, and IP platforms. Act as a thought partner to leadership, helping to shape team strategy through data-driven insights and a deep understanding of creator workflows. You have: 2+ years of industry experience in analytics 2+ years of experience in statistical modeling and machine learning 4+ years of experience using big data query/processing languages such as SQL, Hive or Spark to transform/manipulate very large datasets 2+ years of experience in one or more scripting languages such as Python or R BA/BS degree in Computer Science, Applied Math, Physics, Engineering, Statistics, Economics or other technical field, or equivalent experience. You are: MS/MA degree in Computer Science, Applied Math, Physics, Engineering, Statistics, Economics or other technical field, or equivalent practical experience. 2+ years of industry experience in a leadership role collaborating with cross functional partners 4+ years of experience in fast-paced environment or fast growing company, such as the tech sector Experience working with infrastructure teams and content platforms, particularly user-generated content Ability to communicate analytics results and data storytelling to influence product teams and leaders Experience working with ML and Neural Networks tools to enable AI assisted creation. Knowledge of Econometric Techniques, Causal ML, and Meta learners for product impact evaluation 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 $217,040—$258,500 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.

Responsibilities

As a Data Scientist, you will analyze and evaluate the impact of new product features and platform changes through rigorous experimentation. You will also build and maintain data pipelines and dashboards to support data access and decision-making.