Job description

Job Description


Responsibilities


  • Perform hands-on modeling and complex analyses using Python, SQL and/or R
  • Build and enhance marketing mix models to connect the impact of marketing tactics and business short-term and long-term outcomes


Minimum Qualifications


  • Master's degree in statistics, economics, operations research, engineering, or related field
  • Marketing mix modeling industry experience
  • 8+ years of industry experience in data science, measurement, marketing strategy & analytics
  • Strong communication skills to 'tell a story' that provides insight into the business
  • Proficient coding skills (SQL/Python/R) and database knowledge
  • Extensive experience with predictive modeling algorithms
  • Strong project management skills, including managing technical resources and multiple priorities & milestones.
  • You have a passion for working in a fast-paced agile environment.
  • A collaborative mindset and sense of curiosity


Preferred Qualifications


  • PhD degree in Statistics, Economics, Operations Research, or related field
  • Experienced in building market mix and multi-touch attribution models
  • Experience with advertising, measurement, and/or digital marketing analytics
  • Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.
  • Advanced programming skills with experience of creating Python modules
  • Experience with A/B and Multivariate test design and implementation

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