Data Scientist - Marketplace

Why Data Science & Analytics?

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.

Why Marketplace at Roblox?

Roblox is building the largest online marketplace for virtual goods that enable and advance self-expression and identity, and offer an earning opportunity for a large creative community. This marketplace is a core part of democratizing creation and online identity. In this space, as a Data Scientist for Marketplace, you will leverage your expertise in product analytics, data infrastructure, and experimentation to inform and evaluate the growth of the marketplace. By building robust data foundations, your insights will be essential to understanding platform activity and building the best avatar marketplace for our millions of users and creators. You will collaborate with a team of data scientists and economists, along with cross-functional partners, to implement data-informed strategies that maximize the impact for our community. This role is essential to our long-term strategy and you will report to the Senior Data Science Manager, Marketplace.

You Will:

• Partner directly with Marketplace leadership (product and engineering) to provide insights that accelerate product development and innovation.


• Develop and own strategic data initiatives, including building and maintaining core dashboards and reports that track the health of the marketplace.


• Design, execute, and analyze A/B tests to measure the impact of new features and inform product decisions.


• Architect and build robust data pipelines to support analytics, reporting, and modeling needs.


• Conduct deep-dive analyses to understand user behavior, identify opportunities for growth, and solve ambiguous business problems.


• Contribute to the team's science roadmap by identifying key areas for analysis and experimentation.

You Have:

• 4+ years of industry experience in data science, product analytics, or a related quantitative role.


• Expertise in SQL and experience using scripting languages for data analysis (e.g., Python, R).


• Proficiency in developing data pipelines and working with big data technologies (e.g., Spark, Hive, Airflow).


• Strong experience in experimental design (A/B testing) and statistical analysis.


• A proven track record of translating complex data into actionable insights and communicating them to stakeholders.


• Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, or a related field).