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Senior Data Scientist- Creator Content

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 teams, we use this 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 ROBLOX CREATOR CONTENT?

The Creator Content team's mission is to make user generated content universally accessible and useful. We are building a highly scalable, extensible and secure content platform which provides the best content ingestion and access experience in the world. By working on broadly scoped problems such as creation everywhere, content suitability, and usability of content creation workflows, you will be directly unlocking growth potential for our creator community. As a senior data scientist, you will be a key partner to our design, product and engineering teams to shape the future of Roblox. You'll partner with data scientists, product managers, engineers and leaders across the company to better understand our players and builders, performing ad hoc analysis, creating dashboards, defining KPIs, applying models and designing A/B experiments. You will help Roblox change as a game creation and social coplaying platform, break new grounds for the gaming industry and data science.

You Will:

• Reporting to the Manager of Data Science, you will accelerate product development through your understanding of the underlying data and your ability to partner with product and technical leaders to provide insights that improve growth.
• Access raw data, and then transform it, analyze it, and render it in a compelling way--all using a custom analytics tool kit built from state-of-the-art open-source libraries.
• Build dashboards to understand causes of changes in metrics.
• Accelerate product development through the application of models to improve growth and improve the product experience.
• Evaluate A/B experiments to determine success of product feature launches.
• Influence how Roblox works with its players and its platform developers to accelerate creator velocity.

You Are:

• Passionate about data. You are curious to learn new techniques and tools to extract value from data. You have a degree in Statistics, Economics, Computer Science or other relevant field.
• An effective communicator. You understand that analysis must be presented in meaningful ways and participate in spirited discussions about the findings. You can explain technical concepts to non-technical audiences and discuss appropriate tradeoffs.
• A capable statistician. You understand the value of characterizing data by its distribution. Covariance, Bias, and Conditional Probability are concepts that you rely on every day.
• An expert 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 using big data frameworks such as Spark, Hadoop or Flink.
• Experienced in developing models to draw insights from data. You use regression techniques, data mining, and statistical techniques to create new, scalable solutions to solve difficult business problems. You understand when to apply the appropriate methodology to maximize impact in a pragmatically

You Have:

• BA/BS in Computer Science, Applied Math, Physics, Engineering, Statistics, Economics, Financial Mathematics or other technical field
• 8+ years of industry experience in Data Science and Analytics
• 6+ years of prior industry experience in Product Analytics
• 6+ years experience in scripting languages for DS like Python or R
• 3+ years of experience using big data query/processing languages and tools such as SQL, Hive, Spark and Airflow
• Experience leading complex cross functional and cross-org projects
• Experience promoting best practices and excellence across an analytics team
• Experience developing a vision, roadmap, datasets, and tooling in a nascent area
• Knowledge of statistics fundamentals to support experimental design and analysis
• Experience with exploratory data analysis, data analysis to inform product design decisions, statistical analysis and testing, and machine learning model development