Data Scientist

  • Extract, prepare and analyze complex datasets
  • Build and implement machine learning models to solve business problems
  • Develop data visualizations and dashboards to communicate findings
  • Collaborate with stakeholders to understand business requirements and translate them into data solutions
  • Clean, preprocess, and organize raw data for analysis
  • Conduct A/B testing and evaluate model performance.

Profile:

  • Strong programming skills in Python
  • Experience in building and training ML
  • Experience with SQL
  • Experience with JupyterHub, MLFlow, Airflow and Dask is a plus
  • Experience with Elastic is a plus
  • Experience in managing/processing large data sets
  • Strong communication skills to convey complex insights to non-technical audiences
  • Knowledge of Agile/Scrum methodologies.

Benefits:

  • Full access to foreign language learning platform
  • Personalized access to tech learning platforms
  • Tailored workshops and trainings to sustain your growth
  • Medical insurance
  • Meal tickets
  • Monthly budget to allocate on flexible benefit platform
  • Access to 7 Card services
  • Wellbeing activities and gatherings

See also

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