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Senior Data Scientist

Published on Aug 20, 2021
MGID

A Product company with office in Kyiv, Ukraine.

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Experience:
3-5 years
Job Type:
Full-Time
Remote
Specializations:
Data Engineering
Deep Learning
Data Science & AI

What You Will Do Responsibilities
  • Develop new models for different recommender systems within our product (classification, clusterization, etc.);
  • Research, patterns identification, and formulating insights;
  • Clean data from noise, find patterns for irrelevant, robot generated events;
  • Identify proper evaluation metrics, make an offline and online evaluation and testing for new models;
  • Upgrade and support current models;
  • Enrich data with new features using first and third-party data;
  • Developing applications or notebooks for maintaining models (training, usage);
  • Identify new opportunities to leverage data science to different parts of the MGID product.

What You Should Bring
Must-have
  • 3+ years of experience, deep skills in Machine Learning\Data Science;
  • Hands-on experience with machine learning concepts: regression and classification, clustering, feature selection, feature engineering, curse of dimensionality, bias-variance tradeoff, neural networks, SVMs, etc.;
  • Have professional experience with Python(Scikit-learn, Pandas);
  • Experience with Keras/TensorFlow
  • Knowledge of Spark (Spark ML/PySpark);
  • Understanding of true model validation, p-value, and equivalent;
  • Good data manipulation skills are required including cleaning and managing data;
Nice-to-have
  • The ideal candidate holds an MSc or Ph.D. in Engineering, Statistics, Mathematics, or related fields.
  • Knowledge of R;
    -Understanding of online advertising, RTB systems, know the difference between DSP, SSP, and DMP;
    -Hands-on experience with NoSQL databases.

What You Will Get Benefits

— Friendly team, opportunities to share your knowledge and experience;
— The newest office in the business center “Marmalade”;
— English courses with a native speaker;
— Flexible approach to the schedule;
— Corporate participation in sports, eco-and social projects.
— Health insurance package.



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