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Data Scientist
  • Warsaw
Data Scientist
Warszawa, Warsaw, Masovian Voivodeship, Polska
Experis
21. 11. 2024
Informacje o stanowisku

technologies-expected :


  • Python
  • SQL

responsibilities :


  • Design, develop, and deploy analytical and predictive models to support business decision-making
  • Develop and implement analytics solutions for large-scale data sets using tools such as SQL, PySpark, and Python
  • Construct and deploy machine learning algorithms tailored to the organization’s specific needs in areas like NLP, LLM, prediction, or classification
  • Conduct experiments, optimize models, and fine-tune them to meet changing business requirements, using techniques like Hyperopt or XGBoost
  • Work closely with analytics and technology teams, communicating results and recommendations effectively to business stakeholders
  • Keep up with and adapt new advancements in AI/ML, including Generative AI, Quantum Computing, and Responsible AI, to provide a competitive advantage for the organization

requirements-expected :


  • Minimum of a Bachelor’s degree in fields such as Computer Science, Physics, Mathematics, Quantitative Methods, or a related discipline
  • At least 3 years of experience in applying data-driven methods to various business scenarios, including the creation and use of advanced analytics and machine learning algorithms
  • Proficiency in at least one programming or query language, such as Python, PySpark, or SQL
  • Strong understanding of machine learning concepts and algorithms, such as clustering, regression, classification, forecasting, neural networks, hyperparameter optimization, NLP, and LLM
  • English Language: Very good command of English, both written and spoken

offered :


  • Stable employment conditions based on an employment contract
  • Remote working model
  • Private medical care
  • Life insurance
  • Employee share program
  • Access to the MyBenefit platform (possibility of using a wide range of products and services, including the Multisport card and the lunch card)
  • A wide training package (soft and technical training offer, access to the e-learning platform, possibility of co-financing courses and certification)
  • Participation in the implementation of projects on a global scale for the largest international companies using the latest technological solutions and tools

benefits :


  • sharing the costs of sports activities
  • private medical care
  • sharing the costs of professional training & courses
  • life insurance
  • remote work opportunities
  • extra social benefits
  • meal passes

  • Praca Warszawa
  • Warszawa - Oferty pracy w okolicznych lokalizacjach


    96 756
    15 987