Technical Director - Data Science (discovery)

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

Roblox is seeking senior data scientists with expertise in machine learning to join their Discovery Experience team. The role focuses on improving end-to-end consumer journeys on Roblox by leveraging data science toolkits including analytics, experimentation, forecasting, and ML solutions. Responsibilities include developing ML solutions for discovery canvases, applying causal inference, and designing/implementing experiments. Experience with recommendation systems and content platforms is required.

What you'd actually do

  1. Develop foundational solutions to scale the hypothesis generation process across key user engagement touchpoints.
  2. Contribute directly to the development of ML solutions that power our discovery canvases alongside our sister engineering teams.
  3. Partner closely with Product and engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions and machine learning prototypes.
  4. Leverage advanced causal inference methodologies to measure the effectiveness of various initiatives, ranging from Roblox events to social features susceptible to network effects.
  5. Conduct exploratory analysis to identify and advise XFN partners on opportunities for strategic investments.

Skills

Required

  • Python
  • R
  • SQL
  • Hive
  • Spark
  • Airflow
  • Machine Learning
  • Deep Learning
  • Causal Inference
  • Experiment Design
  • Recommendation Systems
  • Content Platforms

What the JD emphasized

  • 10+ years of industry experience in data science, economics, analytics, or machine learning engineering
  • 7+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow
  • Knowledge of ML and Deep Learning either via formal training or industry experience
  • Experience developing large-scale recommendation systems as well as experience with content platforms, specifically user-generated content

Other signals

  • Develop foundational solutions to scale the hypothesis generation process
  • Contribute directly to the development of ML solutions that power our discovery canvases
  • Leverage advanced causal inference methodologies to measure the effectiveness of various initiatives
  • Design and implement experiments for new features