Data Engineer

Prequel · Posted 2026-10-20

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Data Engineer

Prequel is a leading mobile ad-exchange which helps app-developers and mobiles SDKs to monetize their inventory. Prequel is leveraging its clients' ROI by using a proprietary technology which utilizes 1st party and 3rd party data.

What You Will Do

  • Research and experiment with different machine learning algorithms and techniques for pattern analysis, statistical modeling, feature engineering and predictive model building
  • Prototype and produce the developed Machine Learning solutions
  • Use Hive, Scala, Java or Python to utilize Hadoop/Spark to process large-scale datasets
  • Able to identify, analyze, and interpret trends or patterns in complex log-based data sets
  • Explore and interpret data, analyze results using statistical techniques
  • Use big data skills to bring high volumes of data and data modeling together
  • Awareness of priorities of client-driven and internal projects

Desired Skills And Experience

  • Masters in a quantitative field (e.g. mathematics, statistics, computer science or engineering)
  • 1+ years’ experience working for a technology company (required)
  • In depth knowledge and experience with: Regression, Random Forests, Support Vector Machines, Bagging, Boosting, Decision Trees, Clustering, Optimization, Stochastic Processes
  • Solid understanding of predictive analytics, statistical modeling, and data-mining (theory, algorithms, and application)
  • Able to make intelligent approximations and design effective, practical, and scalable mathematical models
  • Able to identify assumptions and the limitations of models/algorithms and the impact on reporting and decision-making
  • Proficient in Python (required)

What We Offer

  • The opportunity to work for one of the fastest growing AdTech companies.
  • Direct cooperation with the top mobile games developers and publishers
  • A rewarding career in a friendly and inspiring atmosphere
  • An attractive salary and incentives’ structure, based on experience and sales performance
  • Fully responsible, high potential position within high-tech business development domain