Senior Data Scientist

New
N
neXaAdvertising, Machine Learning
Poland — remote (occasional meetings with team - max. once per quarter)Full-TimeSenior
Salary not disclosed
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Job Details

Languages
English B2, Polish C1
Required Skills
PythonSQLGCPPyTorchPandasTensorflowBigQueryDeep Learning

Requirements

  • Extensive hands-on experience designing, training, and improving Deep Learning models for production use cases.
  • Strong practical experience with Neural Networks.
  • Proficiency with PyTorch or TensorFlow.
  • Strong Python skills, including writing production-level, testable, and documented code.
  • Advanced SQL skills and experience working with large-scale data.
  • Practical knowledge of Pandas and NumPy.
  • Experience with public cloud infrastructure, preferably GCP.
  • Experience with ML-oriented cloud services such as Vertex AI and Vertex Pipelines.
  • Understanding of CI/CD practices.
  • Experience leading model development end-to-end.
  • Ability to mentor other Data Scientists and contribute to improving modeling standards.
  • Relevant academic background or extensive professional experience in a STEM field.
  • Strong independence, ownership, and decision-making skills.
  • Professional working proficiency in English (min. B2) and native-level Polish.

Responsibilities

  • Design, train, refine, and evaluate ML scoring models, including models related to CTR, CVR, and RoAS.
  • Develop model strategies combining user, product, and placement signals.
  • Design solutions suitable for high-throughput and low-latency production environments.
  • Work closely with Engineering and Business teams to translate business goals into measurable modeling outcomes and technical roadmaps.
  • Take ownership of the full model development lifecycle — from problem framing and feature engineering to evaluation and production handoff.
  • Ensure high standards of quality and production readiness across Data Science workstreams.
  • Provide technical guidance and mentor other Data Scientists.
  • Work with large-scale datasets and independently make technical decisions.
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