Data Scientist PhD Intern

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, causal inference, economics, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive toolbelt 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. ## Teams Hiring for this Role - Foundation AI: Our AI evaluation team focuses on generating high-quality models and consistently improving our evaluation models. - Safety: Managing account relationships and the real-time morphing of linguistic mapping. - Economy: Drive creator success and growth by exploring marketplace structure and pricing. - Engine: This team is dedicated to enhancing Roblox's overall stability and performance, enabling all its functionalities. - Social: Analyze user engagement to identify areas for enhancing the user experience and delivering greater value. - Consumer/Growth: Optimize our user’s experience and provide them with UX and content to maximize intention and engagement on the platform. - Creator/Ads and Brands: Understand the long term value and contribution Creators have to the health of Roblox’s ecosystem. ## You Will - Collaborate with data scientists and engineers to research and develop advanced data analytics, causal inference, experiment design and machine learning solutions to power the business and product innovations. - Conduct in-depth research to address complex data-related challenges. - Work on projects that have a real impact on our products, services, and business strategy. - Apply your work to expedite product innovations, including in-experience experiments, friend recommendations, and dynamic resource allocation for experience servers. - Present your findings and recommendations to both technical and non-technical stakeholders. ## You Have - Possessing or pursuing a PhD degree in a quantitative field such as Statistics, Applied Math, Computer Science, Economics, or Computational Social Science. - At least 1 year of experience doing causal inference or machine learning or experiment design via research or prior internship. - Proficiency in one or more programming languages (e.g., SQL, Python or R). - Proficiency in big data query/processing languages and tools such as SQL, Hive, Spark, or Airflow. - Passion for applying scientific rigor to advance dynamic consumer products. - Experience in developing production solutions is a plus. - Experience with ML modeling.Hourly pay range: $66–$66 USD. Roles based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).