About the role

  • Build and apply attribution and causal models (e.g., multi-touch attribution, experimental design).
  • Design and analyze experiments to evaluate program effectiveness and user behavior.
  • Apply best practices in causal inference and statistical modeling.
  • Translate business objectives into measurable outcomes.
  • Deliver insights on performance, lifetime value, and incremental impact.
  • Collaborate with cross-functional teams to implement measurement frameworks.

Requirements

  • Bachelor's degree in Statistics, Econometrics, Economics, Data Science, or a related field.
  • 5–10 years of experience in measurement, attribution, or applied data science.
  • Proficiency in R (preferred) or Python for statistical modeling and experimentation.
  • Experience with modern data platforms such as Databricks and Redshift in production environments.
  • Expertise in A/B testing, causal inference, and advanced modeling techniques.
  • Ability to work across technical and non-technical teams in a matrixed environment.

Benefits

  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development

Job title

Senior Data Scientist

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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