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 ANALYTICAL DATA PRODUCT?

This role will work very closely with Product Managers, Engineering teams, and other analytical folks, responsible for analytical data products that are critical in empowering Roblox to rapidly identify opportunities and innovate on consumer products and strategies. You will report to Senior Data Science leadership on the team.

You Will:

• Build scalable data solutions by owning and developing ETL data pipelines and dashboards that support key Consumer App feature areas.
• Contribute to telemetry design in close partnership with Engineering, ensuring instrumentation aligns with downstream analytics and business needs.
• Work with large, raw datasets, transforming them into clean, consumable aggregates and visualizations that streamline analytics workflows.
• Conduct descriptive and exploratory analyses to inform decisions across product and strategy teams.
• Operationalize and scale metric monitoring and root cause analysis by building tools that enable rapid data exploration and decision-making.
• Collaborate with fellow data scientists to bring greater scientific rigor to trend monitoring, applying statistical testing and anomaly detection to distinguish signal from noise.
• Contribute to the development of a robust data infrastructure to support the Consumer pillar.

You Have:

• An advanced or equivalent degree in Computer Science, Mathematics, Statistics or a related discipline.
• Minimum of 2 years of experience in analytical engineering or similar role.
• Strong data engineering skills, including experience with large datasets, telemetry logging, and data pipeline development.
• Experience in data visualization, including dashboard design and implementation.
• Experience in the Consumer app space, gaming industry is a plus.
• Strong communication skills with the ability to effectively present results and influence stakeholders through data storytelling.

You Are: 

• Passionate about leveraging data solutions to drive decisions and optimize business performance.
• Strive to write elegant and maintainable code, clear documentations and comfortable with picking up new technologies
• Strong product mindset and data intuition. Keen to apply analytical and data engineering skills to translate business problems into scalable engineering solutions
• An expert at transforming data with SQL and a scripting language such as Python or R. You're experienced in automating efforts and crunching massive volumes of data in distributed systems using frameworks such as Spark, Hadoop or Flink.
• Motivated by impact. You find satisfaction in being able to point to direct contributions you've made to an organization. You recognize the inherent tradeoffs between further research/experimentation and productionization apply the appropriate methodology to maximize impact.
• A strong communicator. You understand that analysis must be presented in meaningful ways and engage in spirited discussions about the findings. You have the ability to explain technical concepts to non-technical audiences and discuss appropriate tradeoffs.