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Python developer for data science team

Our core project is a leading financial services provider, specializing in payday loans. We focus on serving consumers seeking alternatives to traditional banking relationships by gaining convenient, immediate access to financial services.

Key responsibilities include:

  1. Deploy machine learning models in production for their performance monitoring
  2. Collaborate with data scientists to build and maintain data pipelines
  3. Deliver high quality code and documentation
  4. Work with a mixed set of technologies and experiment with the new ones

Main requirements:

  • +2 years experience in development with Python
  • Experience with data structures, algorithms, design patterns
  • Experience with parallelization of complex operations, understanding of multiprocessing and threading
  • Experience with SQL (PostgreSQL) and NoSQL (Redis, MongoDB)
  • Knowledge of Docker
  • Passion about testing (Unit and Integration Testing)
  • Experience in working with different data types (CSV, Parquet, JSON)
  • Experience with version control systems (Git)

As a plus:

  • Experience with Apache Spark
  • Knowledge of database performance tuning
  • Experience in integrating NoSQL alongside RDBMS
  • Familiarity with Elasticsearch, Logstash, and Kibana or similar technologies
  • Experience with Python analytics libraries (​ Pandas, Numpy, Scikit-learn, Scipy, etc​ )
  • Familiarity with machine learning concepts: regression and classification, feature engineering\selection, ensembling\stacking etc.

Application

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