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YieldMo // mobile audience marketplace for publishers & advertisers
Engineering, Full Time    New York    Posted: Friday, December 11, 2020
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Who We Are

Yieldmo is one of the worlds fastest-growing digital advertising & attention analytics companies. Agencies & brands use its premium marketplace to create, measure, model, & optimize their campaigns for unmatched scale & performance. Underpinned by AEROS Attention Analytics, advertisers can now truly understand how consumers are interacting with ads before the click, & after the initial view. Yieldmo ultimately delivers better results by harnessing the power of attention data to drive superior audience engagement & targeting. 

What We Need

We are looking for a data scientist to develop optimization models to enhance our marketplace. You will use statistical analysis, machine learning, & optimization techniques to help answer questions such as, what is the propensity for a buyer to purchase an ad impression & what price will the buyer pay for the ad impression. You will be part of a team of data scientists & engineers that is focused on increasing yield to sellers on our marketplace while ensuring that buyers performance objectives are met. You will use a cutting-edge cloud technology stack to work with a dataset comprising billions of daily records & petabytes of storage, & make hundreds of millions of predictions deployed to environments requiring milliseconds response times.


  • Develop models that help predict the value of an ad impression on our marketplace.
  • Perform large-scale data analysis & develop optimization algorithms.
  • Predictive analytics & modeling.
  • Machine learning with high dimensionality.
  • Statistical data modeling & analysis.


  • At least 5+ years experience working as a data scientist.
  • A passion for innovating with data science at scale applying modern algorithms to massive datasets & creating measurable business value.
  • Must be able to develop working prototypes, prove that they add meaningful value, & ensure that they are implemented properly in a production environment.
  • Excellent understanding of algorithms, scalability, & various tradeoffs in a big data setting.
  • Strong verbal & written communication skills.
  • Comfortable working with onshore & offshore distributed teams.
  • Strong expertise in at least one language for data manipulation, analysis, & machine learning, such as Python, R, or Matlab, interacting with distributed computing resources.
  • Experience in querying & manipulating data with SQL or another data query language in a big data environment.
  • MS or equivalent combination of education & experience.

Nice to Haves

  • Ad tech experience (SSPs, DSPs, Analytics, DMPs, CDPs).
  • Intermediate-level programming experience with Python.
  • Microservices architectures experience.
  • Exposure to Snowflake & Looker or similar platforms.
  • Exposure to high-volume low-latency environments.
  • Exposure to AWS or Google Cloud.


  • Home office setup stipend.
  • 2 Mental Escape (ME) days each month.
  • Learning stipend & professional development opportunities.
  • Work-life balance, flexible PTO, & competitive compensation packages.
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