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
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