Jampp is a performance marketing platform for mobile advertisers with challenges that span many technologies, from an extremely scalable and highly available platform to big data tools that allow us to manage the big stream of data. We manage hundreds of instances buying impressions in a global market 24/7 with data centers in 3 continents, processing 150 TB daily, 850K QPS and 55+ billion in-app events per month. In order to pick the best ads and show them to the right people at the right time, we rely on real-time machine learning models (with billions of features) that predict in less than 1ms as well as optimization systems which solve complex constrained problems to maximize global company goals in an iterative fashion.  

As a Data Science Engineer  you will work with other team members to design, prototype and build scalable distributed optimization and forecasting systems that will be used to enhance the machine learning platform we have.

Jampp is a remote-first company. For this position, it means that you can work remotely from any part of Argentina.


  • Work creatively and analytically in a problem-solving environment
  • Identify key problems, propose and execute innovative solutions 
  • Standardize best practices for analysis, modeling and experimentation; Develop scalable processes to help the team solve pain points and meet goals.
  • Help deepen our understanding of the product, our users, and our business through data.
  •  Work with the product team to identify opportunities for improvement in our current product line, and for enabling upcoming product opportunities
  • Work with massive high-dimensional datasets to develop both generic models as well as fine tune models tailored to specific products.
  • Apply statistical and econometric models on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict future user or product performance.
  • Work with models currently in production, identify areas for improvement, and make  them better by using retraining and hyperparameter searches, then deploy without regressing on core model features - including sampling and estimator design, model selection and hyperparameter tuning. 


  • BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field
  • At least 5 years of coding experience. Python stack is a bonus (pandas, numpy, scikit-learn, jupyter notebooks)  
  • Feel comfortable interacting and coordination with other tech teams to lead execution
  • Experience as a tech lead or mentoring other team members
  • Proven database experience.
  • Experience communicating the results of analyses with product and leadership teams to influence the product strategy and roadmap.
  • Be comfortable writing well-structured, production-ready code to support your work and have quality results.
  • Smarts, humility, and equal willingness to learn and teach


  • ๐Ÿ“ฑLearn a ton about the hottest area of growth in Internet advertising - Mobile!
  • ๐Ÿ’ฐCompetitive salary
  • ๐Ÿ“ˆ A great level of responsibility from day one and the chance to develop your potential without limitations.
  • ๐Ÿ’ช๐Ÿผ An entrepreneurial environment.
  • A dynamic remote-first work culture with the possibility of accessing coworking spaces as needed. 
  • ๐Ÿค“ A structured remote onboarding process and continuous training with a supportive team. We win together!
  • Work with a talented global team that you can constantly learn from! We have jamppers from ๐Ÿ‡ง๐Ÿ‡ท๐Ÿ‡ฌ๐Ÿ‡ง๐Ÿ‡บ๐Ÿ‡ธ๐Ÿ‡ฎ๐Ÿ‡ช๐Ÿ‡ซ๐Ÿ‡ท๐Ÿ‡ฉ๐Ÿ‡ช๐Ÿ‡ฆ๐Ÿ‡ท๐Ÿ‡ท๐Ÿ‡บ... our customers are not the only ones from around the globe ๐Ÿ˜‰
  • ๐Ÿ˜Ž Cool swag and team activities (even when working from home!)


Jampp is the programmatic platform of choice for the fastest growing on-demand companies worldwide.

In 2013, we noticed the chaos surrounding mobile performance advertising and wanted to change it, somehow. We built a suite of growth products that unlock programmatic advertising for some of the biggest names in mobile (like Uber, Rappi, iFood, & Postmates to name a few).

Weโ€™re a team of builders - engineers, data architects, designers, and entrepreneurs - who love what we do.

We serve a global customer base from our offices in San Francisco, Berlin, Sรฃo Paulo, Singapore, and Buenos Aires.

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