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Senior Data Scientist, Marketing

Data ScientistData ScientistFull TimeRemoteTeam 1,001-5,000Since 2007H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

8 days ago

Salary

$173.7K - $234.9K / year

Bachelor Degree7 yrs expEnglishHadoopPythonSQL

Job Description

• Evaluate and improve our marketing measurement leveraging techniques such as MMM(Marketing Mix Modeling), MTA(Multi touch attribution) and incrementality testing • Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments • Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights • Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes • Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. • Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets • Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments • Translate complex concepts into implications for the business via excellent communication skills, both verbal and written • Understand what matters most and prioritize ruthlessly • Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate

Job Requirements

  • Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
  • 7+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting
  • Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
  • Significant experience with SQL and large unstructured datasets such as Hadoop
  • Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees
  • Solid background in running multivariate experiments to optimize a product or revenue flow
  • Strong verbal and written communication skills
  • Proficiency in programming/scripting and knowledge of statistical packages like R or Python.

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