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Data Scientist / Algorithm Engineer (AdTech)

Role overview

Responsibilities

  • Analyze data to identify bottlenecks
  • Develop and implement algorithms for optimizing advertising campaigns
  • Ensure conversions occur at a specified cost
  • Maximize conversions within client’s budget

Key facts

Hard skills

Other skills

  • Proactivity
  • Results Focused
  • Problem Solving

About the company

MGID logo

MGID

Marketing & Advertising

Santa Monica-based MGID is one of the first native performance advertising platforms worldwide. Our platform serves thousands of publishers w/billions of news stories, all while delivering marketing solutions for advertisers that key into consumer interests without disrupting their online experience. MGID’s performance-driven approach ensures relevant, engaged and genuinely interested visitors to its customers’ websites, increasing traffic and revenue by maintaining the quality and relevance online users expect. Established in 2007, MGID has provided quality content distribution to lifestyle and entertainment publishers globally.

Company details

Company typeSME
IndustryMarketing & Advertising
Company size501 - 1000

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Job description

Join MGID as a Data Scientist and become part of a team shaping the future of AdTech!

We are a forward-thinking team striving to develop and implement cutting-edge algorithms for optimizing advertising campaigns in AdTech. Currently, our primary goal is to enable CPA (Cost Per Action) campaigns to achieve the following objectives:

  • Hit CPA targets by ensuring conversions occur at a specified cost.

  • Scale conversions volume while maintaining alignment with the CPA target.

  • Maximize conversions within the client’s budget.

This role offers the unique opportunity to contribute directly to the development of these solutions, driving innovation in the AdTech space and shaping the future of campaign optimization.

We are looking for a self-driven, proactive, and results-oriented professional who is not afraid to take ownership: analyze data, identify bottlenecks, and come up with practical solutions quickly.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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