Tech Stack

Description

You will collaborate with data scientists and engineers to research and develop advanced data analytics, causal inference, experiment design and machine learning solutions. Your work will directly impact product innovations like in-experience experiments and friend recommendations.

Requirements

• Pursuing a PhD in a quantitative field (Statistics, Applied Math, CS, Economics, etc.)
• At least 1 year of experience in causal inference, machine learning, or experiment design via research or prior internship
• Proficiency in SQL, Python, or R
• Proficiency in big data tools (SQL, Hive, Spark, or Airflow)

Responsibilities

• Collaborate on research and development of data analytics, causal inference, experiment design and machine learning solutions
• Conduct in-depth research on data-related challenges
• Work on projects with real impact on products, services, and business strategy
• Present findings and recommendations to technical and non-technical stakeholders