Senior Data Scientist - Growth Measurement

Roblox Roblox · Consumer · San Mateo, CA · Data Science

This role focuses on developing measurement frameworks and product strategies for growth initiatives, leveraging data science, statistics, and causal inference. It involves analyzing performance marketing, attribution modeling, and incrementality measurement, and collaborating with marketing, product, and engineering teams to optimize user growth. The role requires expertise in statistical methods, causal inference, experimental design, and working with large datasets using SQL, R/Python.

What you'd actually do

  1. Conduct comprehensive analyses and develop measurement framework for growth efforts using advanced statistical methods and causal inference methodologies
  2. Collaborate with marketing, product, and engineering teams to find opportunities for improvement and build data-driven solutions.
  3. Contribute to the development of a robust data infrastructure to support user growth.
  4. Communicate insights and discuss recommendations with cross function partners translating complex technical concepts into actionable insights.
  5. Partner with different product teams to optimize user growth strategies through insights, strategy, and leadership.

Skills

Required

  • MSc, PhD, or equivalent experience in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields
  • 4+ years of experience in a data science role, with a focus on marketing science and campaign evaluation
  • Strong knowledge and practical application of statistical methods, causal inference techniques, and experimental design
  • Experience working with large datasets
  • Proficiency in SQL, R/Python
  • Proficiency in data visualization tools
  • Experience in the gaming industry and/or multisided marketplaces

What the JD emphasized

  • 4+ years of experience in a data science role, with a focus on marketing science and campaign evaluation
  • Strong knowledge and practical application of statistical methods, causal inference techniques, and experimental design
  • Experience in the gaming industry and/or multisided marketplaces