Medior Data Scientist @

8 hours ago


Budapest, Budapest, Hungary NIX Tech Kft. Full time

NIX, a global supplier of software engineering and IT outsourcing services, is looking for a Medior Data Scientist in its office in Budapest (Vaci Greens, 13th district). You'll be part of a team of professionals who are ready to find the best tailor-made IT solutions for their multinational clients in various industries and solve complex problems.

WHAT WE OFFER:

  • Competitive compensation packages.
  • Stable employment, based on a full-time employment contract.
  • Mentoring program and professional development plan.
  • Private health insurance (Medicover Сlinic).
  • AYCM sport pass, providing discounts at various sports facilities in Hungary.
  • Interesting tasks and diverse opportunities for developing your skills.
  • Free training courses, including English.
  • Participation in internal and external thematic events, technical conferences.
  • A spacious office in the heart of Budapest (13th district).
  • All necessary devices and tools for your work.
  • Friendly, motivating atmosphere.
  • Active corporate life.

If you feel you're ready to join the team, apply for this job now We're already looking forward to meeting you

  • English level B2
  • Good mathematical and statistical background, tensor calculus
  • Good knowledge of databases such as Postgres, MongoDB, and SQL
  • Python language including practical experience with Scikit-learn, Numpy, Pandas, and Matplot libraries
  • Experience with gradient boosting algorithms (XGBoost or LightGBM)
  • At least 1 framework to build and train neural networks (TensorFlow/Keras, PyTorch), a good understanding of neural networks architectures, and how-tos
  • Commercial experience with classic machine learning and deep learning, including NLP and CV models like Bert, Resnet
  • Practical skills in building en-to-end ML training pipelines (data load, preprocess, train, inference), as well as GitHub / GitLab CI/CD flows
  • Docker or Kubernetes platform
  • Work experience as a Data Scientist more than 2 years

WILL BE A PLUS:

  • Experience working with AWS or Azure
  • Ability to work with Spark, Airflow

NIX, a global supplier of software engineering and IT outsourcing services, is looking for a Medior Data Scientist in its office in Budapest (Vaci Greens, 13th district). You'll be part of a team of professionals who are ready to find the best tailor-made IT solutions for their multinational clients in various industries and solve complex problems.

WHAT WE OFFER:

  • Competitive compensation packages.
  • Stable employment, based on a full-time employment contract.
  • Mentoring program and professional development plan.
  • Private health insurance (Medicover Сlinic).
  • AYCM sport pass, providing discounts at various sports facilities in Hungary.
  • Interesting tasks and diverse opportunities for developing your skills.
  • Free training courses, including English.
  • Participation in internal and external thematic events, technical conferences.
  • A spacious office in the heart of Budapest (13th district).
  • All necessary devices and tools for your work.
  • Friendly, motivating atmosphere.
  • Active corporate life.

If you feel you're ready to join the team, apply for this job now We're already looking forward to meeting you

,[Be a proactive team worker;, Collaborate with the team to implement new features to support the growing data needs;, Build, maintain, and deploy DS and ML pipelines, including data retrieval, preprocessing, feature engineering, training, and inferencing the models, analyzing and visualizing the results, Share knowledge with other teams on various data science or project-related topics;, Collaborate with the team to decide on which tools and strategies to use within specific scenarios.] Requirements: Data Science, SQL, Python, Postgres, MongoDB, Airflow, Spark, AWS, Azure Additionally: International projects, Paid English courses, Mentoring program, Bike parking, Free coffee, Playroom, Shower, Free snacks, Modern office, No dress code.
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