Job Description

Job Title: Marketing Data Scientist
Job Location: Ohio


  • “Get into the details”, using machine learning algorithms, data visualization best practices, and analytic engines to release business building insights and build proprietary algorithms on our data, and combining with business and marketing knowledge
  • Design and implement analytical frameworks in the context of overall performance marketing objectives such as media effectiveness, RnF/conversion rate optimization, consumer engagement, content optimization, and personalization
  • Deliver high performance data science, including data sources identification, processing, model/algorithm development, and turning insights into actionable recommendation and systems
  • Adept at demonstrating analytic technologies solving ad hoc business problems, innovating on potential future solutions, and working with technology partners to translate your innovations into robust, scaled, analytic solutions
  • Work actively and effectively with other functions partners and senior management to accomplish project objectives
  • Participate in and lead analytic capability building program at various levels of skill and seniority

Required Qualifications:

  • Bachelor's degree in a quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Analytics, etc.)
  • Five+ years of experience in online and offline media and CRM
  • Five+ years of shown leadership in applying and scaling Analytic techniques to deliver actionable insights from data
  • Experience in disrupting current business practices in CPG or related industries to help crafting a new go-to-market models
  • Demonstrated leadership in applying techniques to deliver actionable insights from data
  • Domain familiarity with media (online/offline/paid/owned/earned)
  • Demonstrated ability to handle multiple priorities
  • Good interpersonal skills, self-motivated, dynamic and can-do attitude
  • Strong written and verbal communication skills to influence others to take action

Preferred Qualifications:

  • Master's degree in a quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Analytics, etc.)
  • Business Intelligence Tools such as KNIME, Tableau, Spotfire
  • Business start-up/Direct-To-Consumer experience
  • Practical experience with Linear TV planning, Programmatic buying, & CRM orchestration
  • Artificial Intelligence/Big Data Ecosystem: Hadoop, Spark, TensorFlow, SQL, Hive
  • Scientific Computing: R, Python, C++, Java, Scala
  • Advanced Analytical models (Bayesian, Optimization (global, local, stochastic methods), Uncertainty Quantification, etc.)
  • Related full-time or internship experience with syndicated point of sale, ("scanner") household panel data, or Operations Research modeling

QBH#: 2166

Application Instructions

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