Data Scientist

Vor 6 Tagen

Berlin, Berlin, Deutschland Digital Turbine Vollzeit

About the Role:


  • Design and deploy large-scale Machine Learning (ML) models to drive business growth and improve user experience across our global platform, serving 2 billion devices and handling 200 billion requests daily.
  • Develop and implement ML models to solve complex business problems, including:
  •     Predicting user behavior and preferences to enhance personalized experiences
  •     Optimizing ad bidding and inventory allocation for maximum revenue
  •     Detecting and preventing fraud to ensure a secure environment
  •     Improving infrastructure efficiency and reducing costs

About You:


  • Proven experience in Ad Network and Data Science, with a strong background in ML model development and deployment
  • 3+ years of experience in a Data Scientist role, with expertise in Python, SQL, and cloud environments
  • Experience with ML models on tabular datasets and A/B testing, with a strong understanding of statistical analysis and Machine Learning concepts
  • Fluent English language proficiency and excellent collaboration skills
  • Bachelor's degree in Computer Science, Engineering, or a related field with a focus on applied statistics, AI, or Machine Learning

What We Offer:


  • Opportunity to work with cutting-edge technologies, including AWS, GCP, BigQuery, Databricks, PyTorch, and MLFLOW
  • Collaborative environment with a team of experienced Data Scientists and Engineers
  • Chance to contribute to the development of innovative ML models and drive business growth

Requirements:


  • Ad Network experience
  • 3+ years of experience in a Data Scientist role
  • Coding skills in Python and SQL
  • Experience with ML models on tabular datasets
  • Experience with cloud environments
  • A/B testing and statistical analysis skills
  • Knowledge of Machine Learning concepts
  • Fluent English language proficiency
  • Collaboration skills
  • Bachelor's degree in Computer Science, Engineering, or a related field

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