A pioneer of the Romanian market, eMAG was founded in 2001 in Bucharest and has well-established businesses in Bulgaria and Hungary. For almost 20 years, the company has been constantly investing in technology-based services developed in Romania that help customers save time and money. With a range of products continuously expanding through own offer as well as through its partners in the Marketplace, eMAG is the place where anybody can search and order anything, from anywhere.








Benefits Rating

Senior Data Scientist (Web&Mobile Team) | eMAG
  • Work place: Hybrid

  • Collaboration: Employment contract

  • Work time: Full Time

  • Seniority: Individual Contributor

  • Experience: 4-6 years

  • Updated on: 29 days ago

  • Expires on: 07 Sep, 21

  • Pay: Negotiable

  • Categories: Backend, Fullstack, Data science, Machine Learning, Data Engineering

  • Size:> 500 employees

  • Industry:Retail

Market (net €/month)
  • Only Loginro members with a minimum completed profile that share their salary expectations for this position may access its industry median pay.

eMAG is looking for a highly motivated colleague to join our Web&Mobile Platform as a Senior Data Scientist.

You will have direct impact in our internal products – Search, Listing, Recommendations, Experiments Evaluation, and Crawler Detection.

Our applications are built with Spark, Kafka, BigQuery, and Airflow. They are mostly written in Python and deployed using Docker on a hybrid infrastructure (own machines and Google Cloud).


  • Discover, interpret and document unique insights in large-scale distributed datasets through exploratory analysis and the application of advanced analytical methodologies;
  • Create statistical and machine learning models in multiple technologies using best-in-class data science approaches;
  • Process, clean, and verify the integrity of data used for analysis;
  • Develop dashboards and reporting workflows for internal clients;
  • Write production-level code for training and inference: data validation, logging, exception handling, and orchestration.



  • A degree in a related discipline (Mathematics, Statistics, Data Science, Computer Science);
  • Knowledge of at least one open-source scientific or statistical programming language such as R or Python;
  • Fluency in SQL and good knowledge of relational databases.

The successful candidate will

  • Be passionate about asking and answering questions in large datasets;
  • Prove skills in problem solving of complex technical subjects;
  • Be a clear and confident communicator with the ability to translate technical concepts into a concise business focused messages in both technical and management presentations;
  • Have knowledge in the following data science domains: Anomaly Detection, Time Series Analysis, Unsupervised Learning, Probabilistic Graphical Models;
  • Have the ability to collaborate with an interdisciplinary team to solve problems;
  • Have a good understanding of the design and architecture of big data applications.

Needed Skills

Data Science

Machine Learning

Available in


Benefits included

Medical subscription

Flex time (07:00 - 19:00)

Flexible benefit (budget offered by employer)

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