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YieldMo // mobile audience marketplace for publishers & advertisers
Engineering, Full Time    New York    Posted: Saturday, March 12, 2022
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Who We Are

Yieldmo is an advertising technology company that operates a smart exchange that differentiates & enhances the value of ad inventory for buyers & sellers. As a leader in contextual analytics, real time technology, & digital formats, we create, measure, model, & optimize campaigns for unmatched scale & performance.  By understanding how each unique impression behaves & looking for patterns & performance in real time, we can drive real performance gains without relying on audience data.

What We Need

We are looking for a Senior 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, & how valuable is this ad opportunity. 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 architecture experience.
  • Exposure to Snowflake & Looker or similar platforms.
  • Exposure to high-volume low-latency environments.
  • Exposure to AWS or Google Cloud.


  • White glove service to help you upgrade your home office
  • 1 Mental Escape (ME) day each month to fully unplug & recharge
  • Work life balance, flexible PTO & competitive compensation packages
  • A generous learning stipend & other opportunities for professional development
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