Principal Applied Scientist

Job Summary

A company is looking for a Principal Applied Scientist.

Key Responsibilities:

• Develop and refine machine learning models for ranking, personalization, click and conversion prediction
• Analyze large datasets to identify trends and insights for improving model performance and advertising outcomes
• Collaborate with cross-functional teams to deliver data-driven solutions and mentor junior scientists

Required Qualifications:

• PhD or Master’s degree in Computer Science, Data Science, Statistics, or related field
• Experience in developing machine learning models for digital advertising
• Proficiency in statistical programming languages like Python, R, or Scala and experience with ML frameworks like TensorFlow or PyTorch
• Demonstrated expertise in predictive modeling techniques and application to digital advertising problems
• Experience with real-time systems and large-scale data processing technologies like Spark, Hadoop, or Kafka