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Data Science Engineer, Attribution

 About the Role:


AdRoll’s Attribution Team is seeking a Senior Data Science Engineer to develop a statistic multi-touch attribution pipeline designed to clearly analyze the value of a client’s various marketing channels.


This is not a project where you will inherit a sprawling legacy code base that will tie your hands. Instead you will be joining a ground floor effort driven by a team of engineers tasked with solving challenging technical and mathematical problems that are of paramount importance to the company’s future. You will be tasked with architecting, collaborating and implementing solutions to technical problems that will put you in a position to learn and grow.


Your mission will be to research, imagine, analyze, and ultimately build out methodologies for determining which marketing channels are having what effect on client purchase statistics. You will be the first data scientist hired specifically for this purpose, and thereby we are counting on you to design our approach to the unique problems at hand. You will do extensive research of existing methodologies and various practices employed by others in order to understand some of the inherent wider problems in this particular problem set. You will work with our extensive internal analytical toolset to vet various theories. You will collaborate with our broader data science team and actively seek their consultation as you hone your strategies. If you are an experienced data scientist with an in depth knowledge of statistics, then you will be a great fit for this position.


At AdRoll Engineering, we value the freedom and autonomy we give to our employees and urge everyone to use a multitude of different technologies based on their interests. In this position, you have the chance to create, build, and own complex modeling pipelines.


Responsibilities:



  • Research key concepts around statistical multi-touch attribution

  • Work actively with existing datasci team members to understand their tech stack and toolset, and craft your own solutions

  • Validate hypotheses through rigorous analysis and testing

  • Work alongside our senior backend engineering team to realize your approaches in our production environment

  • Mentor, teach, hire, and share your knowledge to make our datasci and engineering teams stronger


Qualifications:



  • MS in Statistics

  • 5+ years working in datasci/analytics

  • Experience with big data processing pipelines

  • Familiarity or interest in Python, Docker, and AWS


Bonus Points:



  • Experience in the adtech industry

  • Experience building automated experiment testing pipelines


Compensation:



  • Competitive salary and equity

  • Medical / Dental / Vision benefits

  • Paid time off and generous holiday schedule

AdRoll

  • Location Not available
  • Size Not available
  • Timezone

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