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Über
Data Scientist
with strong expertise in
Python, Data Engineering, NLP model evaluation, and Feature Store technologies . The ideal candidate will have hands-on experience building scalable ML pipelines, evaluating ranking/search models, and working within modern cloud-native data ecosystems, preferably on
Google Cloud Platform (GCP) . This role requires deep analytical capabilities, strong experimentation knowledge, and experience working closely with Data Engineering, ML Engineering, and Product teams to deliver production-grade AI/ML solutions. Required Qualifications 5+ years of experience in Data Science / Machine Learning Engineering Strong hands-on coding experience in Python Experience working with large-scale distributed data processing frameworks: PySpark Dataflow Strong knowledge of NLP model evaluation techniques Experience with ranking/search/recommendation systems Strong understanding of: nDCG MRR A/B testing methodologies Experience implementing Feature Stores using Feast or Tecton Experience working in GCP environments Strong SQL and data modeling skills Experience with CI/CD and ML pipeline orchestration is a plus
Sprachkenntnisse
- English
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