[2026] Data Scientist, Social

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 Social at Roblox

Roblox is a highly social platform hosting billions of user connections, and we are actively building a diverse suite of social products to nurture engaging experiences. In this role, you will partner with our Social Connections team to identify opportunities for growing user connections, facilitating co-experiences, and enhancing social content discovery.

You Will

• 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

• Possess or pursuing a PhD or equivalent in Data Science, Biostatistics, Mathematics or a related field, OR a Master's degree with 2+ years of experience
• 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), causal inference and other statistical techniques.
• A proven track record of translating complex data into actionable insights and communicating them to stakeholders.
• Experience in working with LLM / Agentic flows is a plus.

Qualifications

• Master's degree with 2+ years of experience in Data Science, Biostatistics, Mathematics or a related field
• PhD or equivalent in Data Science, Biostatistics, Mathematics or a related field
• 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), causal inference and other statistical techniques
• A proven track record of translating complex data into actionable insights and communicating them to stakeholders
• Experience in working with LLM / Agentic flows is a plus

Benefits

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.

Pay

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.

Schedule

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).