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 DISCOVERY EXPERIENCES?

Content and co-experience are critical to our platform and drive user engagement. In this role, you will apply your expertise in data science, statistics, and causal inference to evaluate and improve content discovery and socialness within our ecosystem. You will collaborate with cross-functional teams to develop and implement data-driven strategies that maximize the impact of our product and engineering initiatives. This is an opportunity to have an ever growing learning mindset, staying up-to-date with the latest advancements in data science, and exploring a new problem space!

You Will:

• Deepen our understanding of friendships, co-experience, and content discovery and their impact towards our overall Roblox ecosystem.
• Conduct exploratory analysis to identify and advise XFN partners on opportunities for strategic investments.
• Design and implement experiments for new features and communicate results succinctly to non-technical audiences.
• Leverage advanced causal inference methodologies to measure the effectiveness of various initiatives, ranging from Roblox events to social features susceptible to network effects.
• Communicate insights and discuss recommendations with stakeholders translating complex technical concepts into actionable insights.
• Partner with different product teams to optimize user acquisition strategies through insights, strategy, and leadership.

You Have:

• An advanced or equivalent degree in a quantitative field such as Statistics, Economics, Computer Science, or a related field.
• At least 4+ years of relevant experience in Data Science, with a focus on consumer-facing product teams.
• Strong knowledge and practical application of statistical methods, causal inference techniques, and experimental design.
• Experience working with large datasets and proficiency in SQL, R/Python, and data visualization tools. Automate efforts and crunch substantial volumes of data in distributed systems using frameworks such as Spark, Hadoop or Flink
• Experience working on consumer-facing product teams, ideally on social networks or content recommendation systems.