Requirements:

Education: Ph.D. or M.S. in Computer Science, Statistics, Mathematics, or related field with a focus on machine learning or data science.
Experience: 5+ years in applied research or development of machine learning models, data analysis, preferably in advertising or related fields.
Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and big data technologies (e.g., Hadoop, Spark).
Analytical Skills: Ability to analyze large datasets, identify trends, and derive actionable insights. Expertise in data mining, segmentation, and SQL.
Communication: Excellent verbal and written communication skills to convey technical concepts to non-technical partners.

What you'll be doing:

Machine Learning Development: Design, implement, validate, and deploy machine learning models tailored to advertising applications.
Data Understanding: Analyze large volume of production data to produce business insights for ML solutions.
Cross-functional Collaboration: Work with product managers, engineers, and researchers to integrate machine learning insights into advertising products.
Innovation and Research: Stay updated on machine learning and advertising technologies, contribute to research communities, and publish findings.
Technical Mentoring: Guide junior researchers and data analysts, sharing knowledge on machine learning and data analysis.