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YieldMo // mobile audience marketplace for publishers & advertisers
Engineering, Full Time    New York    Posted: Thursday, December 02, 2021
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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

Were looking for an engineering leader with a growth mindset to help drive the development & deployment efforts for the data science workflows. You will lead the technical quality, planning, execution, & delivery of all engineering aspects of user stories for the Data Science Team. You must be excited about getting the output of data science work to production, as this role is less about model building & more about the automation & deployment of machine learning & analytics workflows. You should be someone who values code quality & delivering outcomes. 

You are a highly motivated engineering leader with significant experience enabling & scaling data science solutions. You understand how to architect & build reusable components so there is consistency & increased velocity in the development process. You have built data pipelines that are efficient, maintainable, & tunable. Youre pragmatic, creative, & know how to get things done with an internal team or with a third-party partner. You understand the tradeoffs between getting things out the door, doing things right, & saying not right now. You can translate complex tasks into elegant & intuitive workflows. You are capable of designing, implementing, & communicating technical solutions to engineers, data scientists, & business stakeholders. While we dont expect you to be an expert in all areas, we do expect that you have enough experience to debug production issues, lead technical designs & implement new features.


  • Architect & implement technical solutions for data science workflows, which are not limited to machine learning, with the goal of putting them in production
  • Develop tools, datasets, & configurable workflows for data scientists
  • Collaborate with product, engineering, & business stakeholders to develop a technical roadmap that enables the data science driven product roadmap features
  • Setting up & promoting coding best practices, building Python-based reusable frameworks, & performing code reviews
  • Code, debug, test, automate, & support data science workflows
  • Mentor junior developers & guide them toward successful contributions
  • Project manage & deliver against our roadmap
  • Collaborate closely with colleagues to deliver complex solutions
  • Ensure cross-team delivery successfully against user stories
  • Work with the product owners on sprint planning, backlog grooming, & generating stories


  • 5+ years experience in machine learning engineering, data engineering, & data science
  • 2+ years of experience leading a team of engineers
  • BA/BS or equivalent combination of education & experience
  • Expert-level knowledge of SQL & Python
  • Experience working with large datasets (billions of rows) in high-performance analytics data warehouses such as Snowflake, Redshift, Vertica, or Netezza
  • Team-oriented, with the ability to build relationships & rapport within & across teams
  • Strong verbal & written communication skills
  • In-depth experience with AWS (preferred) or Google Cloud & ability to leverage cloud services to architect solutions for machine learning & analytics

Nice to Haves

  • Ad tech experience
  • Experience building machine learning models in a data scientist capacity
  • Familiarity with Airflow
  • Experience working with Looker data models
  • Experience working with H2O Driverless AI, Google VertexAI, DataRobot, or a similar platform


  • 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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