Senior Data Scientist - Consumer Platforms
Senior Data Scientist - Consumer Platforms
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1 Vacancy
Job Description
WHY DATA SCIENCE & ANALYTICS
The Data Science & Analytics organizations mission is to increase our speed frequency and acumen of making decisions at scale by instilling a datainfluenced 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 craft the product roadmap and prioritization build data products and measure the impact on our community of players and developers.
WHY Consumer Platforms
Roblox is used by over 80 million people every day across a wide range of devices including mobile desktop console and VR. Our users expect exceptional app quality and performance. The Consumer Platform teams mission is to accelerate Robloxs growth by launching and platformspecifically optimizing the Roblox experience for every device platform people use to be entertained connect and coexperience making it comparable to bestinclass apps. Collaborating with engineers product managers and leaders across the company you will apply your data science expertise to quantify the causal impact of platformspecific levers such as content features performance and stability to craft tailored growth strategies for each platform delivering an outstanding user experience while maintaining Robloxs dedication to multiplatform accessibility.
You Will:
- Conduct causal studies to understand how the impact of top growth drivers varies by platform and leverage these insights to craft and optimize platformspecific growth strategies.
- Enhance insight into business outlooks at the platform level and establish platformspecific growth targets by incorporating external market research and competitive analysis.
- Define and measure success metrics for app quality and performance identifying which app quality and performance levers matter most to users and how they influence engagement and monetization.
- Use A/B experiments and causal inference methods to evaluate the success of feature launches; Increase rigor in the product release process and cultivate the adoption of a performancedriven product development approach.
- Access transform and analyze raw data presenting actionable insights using a custom analytics toolkit built with innovative opensource libraries.
- Operationalize and scale metrics monitoring by developing tools that enable quick data slicing dicing and rootcause analysis.
- Navigate ambiguity and collaborate with crossfunctional teams across User Growth Engine and Creator organizations to drive impactful platform improvements.
You Have:
- An advanced degree or equivalent experience in Statistics Applied Math Physics Engineering Computer Science Economics or a related quantitative field.
- 5 years of proven experience in a data science role ideally with a focus on improving app quality and performance.
- Strong data skills and experience working with large datasets including telemetry logging data pipeline development dashboard design and dashboard implementation.
- Deep knowledge and practical expertise in statistical methods time series forecasting causal inference techniques and experimental design.
- Ability to drive an area as an individual contributor and an inspiring leader.
- Ability to apply creative firstprinciples reasoning to take on ambiguous problems.
- Strong communication skills to present analytics results and data storytelling effectively influencing engineering teams and leaders.
You Are:
- 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. Youre 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 build new scalable solutions to solve complicated business problems. You understand when to apply the appropriate methodology to improve impact pragmatically.
Required Experience:
Senior IC
Employment Type
Full Time
