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Data Scientist

Kargo is the only mobile advertising company that creates groundbreakingly innovative campaigns for over 200 of the world’s best-known brands and partners exclusively with a handpicked consortium of over 70 of the most highly respected publishers in the industry, reaching 100% of all smartphone users, an audience that eclipses Google and Facebook in terms of scale. Kargo is the first and only mobile advertiser to achieve 100% ads.txt compliance.

Kargo’s achievements have been recognized by some of the industry’s most prestigious awards and rankings including: Adweek Mobile Innovator (2017), Crain’s New York Business Fast 50 (2015-2017), Deloitte Technology Fast 500 (2016, 2017), EY Entrepreneur of the Year NY (2016), Great Place to Work (2017), Top 25 Workplaces in NYC (2017), and Inc. 5000 (2015-2017). Kargo employs over 275 people in New York, Chicago, Los Angeles, San Francisco, Detroit, Dallas, London, Sydney and Auckland.

For more information, visit Kargo at or follow Kargo on Instagram (@kargomobile), Twitter (@kargo) and LinkedIn (Kargo).

Tasks and Duties:

  • Collect and process disparate media data sets to merge information from multiple sources and allow for seamless analytics.
  • Provide ad hoc reporting and analysis through the interrogation of media data sets.
  • Research the most up-to-date statistical modeling techniques and help provide recommendations for Kargo best practices.
  • Execute and validate rigorous statistical methods for understanding client campaign performance, and contribute to Kargo history of innovation in media.
  • Develop first class graphical representations of data and key findings.
  • Aid in the creation of client-facing presentations that distill complex mathematical concepts into meaningful insights.
  • Ensure decision making is based on statistically robust data and conclusions.

Candidate will have the following experience:

  • 2+ years’ experience in an analytical role or relevant postgraduate study
  • Degree that demonstrates strong analytical skills such as an applied statistics / mathematics, engineering, or computer science.
  • 1-2 years experience using statistical techniques and applying them through programming languages (e.g., SQL/Python/R).
  • Experience with a business intelligence platform such as Tableau or Looker.
  • Strong analytical skills, with the ability to identify business questions, analyze data, draw conclusions, and develop actionable recommendations.
  • An affinity for new technologies. You would be interested and open to working with a new platform or learn a scripting language.
  • Proficient with Microsoft Excel.
  • Diligent and attentive to detail, able to deliver work and resolve issues in a timely and efficient manner.
  • Eager to learn new concepts and challenge the existing business framework.


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