Head of Data Science & ML

Location: Kyiv, Kharkiv, Ukraine
Work type: Full-time
We are looking for a Head of Data Science & ML to lead a technical data science team and help us tight together ML stack with production workflows. Head of Data Science responsibilities include managing the data science team, planning projects and building analytical models. You should have a strong problem-solving ability and a knack for statistical analysis. If you’re also able to align our data products with our business goals, we’d like to meet you.

Essential position responsibilities:

  • Manage a team of data scientists, machine learning engineers, and big data specialists
  • Ensure data quality and integrity
  • Evangelize new technologies and embody the data-driven culture
  • Design and implement ETL pipelines to support and scale models and analyses
  • Conceive, plan and prioritize data projects
  • Align data projects with organizational goals
  • Build analytic systems and predictive models
  • Train different ML models to validate hypotheses and improve the accuracy of the fraud detection algorithms
  • Create tasks for product developers
  • Structure and architecture projecting for data processing systems

Required skills:

  • Analytical thinking and exploratory state of mind
  • Deep knowledge of Statistics and Linear Algebra
  • Deep understanding of Machine Learning concepts and algorithms
  • Great experience in Python and SQL
  • Spark/Spark ML, Tensorflow, Keras, XGBoost, Scikit-learn
  • Solid experience with high-loaded systems like Spark/Hadoop/Hive
  • Ability to process and analyze huge data volumes, ability to create and check hypothesis including data visualization
  • A business mindset

Would be a big plus:

  • Hands-on production experience in Deep Learning
  • Knowledge of R, Java, and Scala
At Scalarr, we’re solving one of the core problems faced by every mobile app developer - app install ad fraud, and for candidates, we offer a wide range of opportunities for different skill levels and experiences. Join our team and help us build the most accurate and reliable solution for detecting fraud using the latest technologies!
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