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Старший науковець з даних Пульт дистанційного керування Повна зайнятість

Наш клієнт:

A fast-growing product company operating in the digital advertising space, focused on building large-scale, data-driven platforms for real-time decision-making. The company develops intelligent systems that optimize campaign performance, user targeting, and revenue generation in highly dynamic environments with massive data volumes.

Ваші завдання:

  • Design and enhance machine learning models that drive real-time bidding and campaign optimization
  • Analyze large-scale datasets to uncover inefficiencies and identify growth opportunities
  • Formulate hypotheses, run experiments, and interpret results to improve system performance
  • Improve targeting strategies to maximize conversion rates and traffic quality
  • Develop approaches for measuring true campaign impact beyond standard attribution models
  • Optimize resource allocation strategies to balance exploration and performance
  • Detect anomalies and improve traffic quality through data-driven techniques
  • Collaborate closely with cross-functional teams to deliver scalable ML solutions

Необхідний досвід та навички:

  • 5+ years of experience in Data Science or Machine Learning in high-scale environments
  • Experience in the AdTech industry is strictly required
  • Strong programming skills in Python and solid experience with SQL
  • Hands-on experience with large datasets and distributed data processing tools (e.g., Spark or similar)
  • Practical experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn
  • Strong knowledge of statistics, including experimental design and causal analysis
  • Proven experience in running and analyzing experiments (A/B testing or similar)
  • Ability to understand complex systems and optimize them holistically
  • Strong communication skills and ability to work with both technical and non-technical stakeholders

Було б добре:

  • Experience with auction-based or dynamic pricing systems
  • Familiarity with large-scale experimentation platforms
  • Understanding of budget optimization and traffic allocation strategies

Умови праці

5-денний робочий тиждень, 8-годинний робочий день, гнучкий графік

5-денний робочий тиждень, 8-годинний робочий день;

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