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Senior Data Scientist - Social Acquisition

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 groups, we use this vast tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure the impact on our community of players and developers.

WHY SOCIAL ACQUISITION?

As a Senior Data Scientist in our User organization, you will drive Roblox's social acquisition strategy and insights. You will analyze and understand how Roblox performs in various markets and identify opportunities to improve acquisition using social levers. You'll partner with data scientists, product managers, engineers, and leaders across the company to better understand our players and builders, perform ad hoc analysis, create dashboards, define KPIs, apply models, and design A/B experiments.

You Are:

• Passionate about data. You have the curiosity and self-drive to continuously learn new techniques and tools to extract value from data. You have a degree in Statistics, Economics, Computer Science, or other relevant fields.
• A strong communicator. You understand that analysis must be presented meaningfully and engage in spirited discussions about the findings. You can explain technical concepts to a non-technical audience.
• 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.
• Experienced in developing models to draw insights from data. You use regression, data mining, and other statistical techniques to create new, scalable solutions to solve challenging business problems. You understand when to apply the appropriate methodology to maximize impact pragmatically.

You Will:

• Develop and drive organic acquisition strategies for Roblox
• Understand the value acquisition brings to acquisition and identify essential growth opportunities
• Work with various cross-functional teams including the acquisition graph team to extract insights about how the product dynamics impact our users' experiences
• Design and evaluate A/B experiments to determine the success of product feature launches
• Establish foundational reporting; partner with engineers to scale foundational data sets to drive insights
• Build statistical, data mining, and machine learning models
• Accelerate product development by understanding the underlying data and partnering with product and technical leaders to provide insights that inspire innovation and improve the product experience
• Report to one of the Data Science Leaders

Basic Qualifications:

• 4+ years of industry experience in Data Science and Analytics
• 4+ years of experience using big data query/processing languages such as SQL, PostgreSQL, Hive, or Spark to transform/manipulate extensive datasets
• 4+ years of experience in one or more scripting languages such as Python or R
• BA/BS in Computer Science, Applied Math, Physics, Engineering, Statistics, Economics, or another technical field

Preferred Qualifications:

• Advanced degree in Computer Science, Applied Math, Physics, Engineering, Statistics, Economics, or other technical fields
• 6+ years of industry experience in analytics focused on enhancing products and driving innovation
• Experience building a team from scratch as an individual contributor
• Experience working with content platforms, specifically user-generated content
• Ability to use analytics results and data storytelling to influence product teams and leaders