Data Scientist (Marketing)

Job Description


Overview
  • The General is seeking a Marketing Scientist to join our company.


Responsibilities

In this role, you will create predictive models to support the objectives of the marketing department, informing business decisions and driving positive change through advice and recommendations.  You will also work closely with the company’s data science team when marketing predictive models have an enterprise wide impact, or require integration with an existing system.

  • Collect, process, manipulate, and investigate large and complex datasets
  • Engage in the ongoing measurement of marketing tactics, reach, and decay, leveraging multiple approaches as necessary to triangulate results in more complex environments as a result of tactical interactivity
  • Leverage advanced analytics to iteratively improve weekly, monthly, quarterly, and annual revenue forecasts
  • Be responsible for conceiving and executing experiments to qualify new tactics, messaging, campaigns and validation of proofs of concept supporting business leaders in tactical expansion
  • Lead the company’s effort to optimize monetization and click and call purchase strategy; exploring and reviewing exchange markets to both improve performance and provide competitive intelligence
  • Support the maintenance and operation of media mix modeling and attribution tools
  • Engage with stakeholders to identify and answer questions critical to the business
  • Monitor industry and competitor trends, leverage emerging technologies and open source tools, and harnesses new techniques to develop business solutions to glean a competitive advantage 
  • Become the company’s subject matter expert on advanced marketing analytics
Job Requirements
  • Bachelor’s degree in Marketing or analytical field; Master’s Degree preferred
  • 3+ years industry experience, with 1-2 years in a marketing analytics role
  • Advanced analytical background and heavy experience in predictive modeling including GLMs, decision trees, and various clustering techniques
  • Be a quantitative thinker with a passion and curiosity for robust analytics and applying advanced mathematical and statistical analysis in problem solving
  • Demonstrated experience in R or Python, SQL, and other languages of choice
  • Effectively able to communicate technical subject matter to all levels of the organization and ability to successfully interact with business partners
  • Maintain a working knowledge of tagging, tracking and referral schemes to support measurement of marketing tactics
  • Be an internal thought leader who anticipates problems and opportunities, has the initiative to pursue solutions, and the courage to challenge the status quo
  • Exceptional time management and organizational skills, and be adept at building and maintaining relationships