Growth Intelligence Engineer (Ads & Revenue)

Added
less than a minute ago
Type
Full time
Salary
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Related skills

sql python spark pyspark hive

πŸ“‹ Description

  • Build and maintain data pipelines powering ads data, user events, and engagement data
  • Design and analyze experiments to measure retention, engagement, and product changes
  • Develop and refine recommendation algorithms to surface relevant content
  • Own commission calculation and quota-modeling for the ad sales revenue process
  • Collaborate with product, content, and sales teams to translate data into actionable decisions
  • Improve data quality and ensure pipelines are scalable and well-documented

🎯 Requirements

  • Bachelor's or Master's degree in a quantitative field (Statistics, Computer Science, Economics, Mathematics, Engineering, or similar)
  • Strong SQL skills; comfortable writing complex queries across large datasets
  • Experience with Python for data analysis (pandas, numpy, scikit-learn)
  • Familiarity with distributed data processing tools (Spark, Hive or similar)
  • Understanding of A/B testing and experimental design
  • Ability to communicate data findings clearly to both technical and non-technical audiences

🎁 Benefits

  • Health, dental, and vision care for you and your family (100% coverage for employee)
  • Top-tier 401(k) plan with company matching
  • Paid time off and paid holidays
  • FSA, HSA and commuter benefits programs
  • Team activity budget
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