Full-Time Data Scientist (Recommendation Science)

Data Scientist (Recommendation Science) at NBCU Media Group Decision Sciences

Position Overview:

This Data Scientist role focuses on creating live content recommendations for NBCU's video streaming service (Peacock). You'll leverage advanced recommendation methodologies and work closely with engineering teams to build a state-of-the-art real-time video streaming service.

Responsibilities Include:

• Building prescriptive content recommendation models using statistical, machine learning, and data mining methodologies.
• Applying data preprocessing techniques (cleansing, discretization, imputation, selection, generalization) to create high-quality features.
• Utilizing big data, relational, and non-relational data sources for analysis.
• Collaborating with engineering teams to implement real-time and batch data science solutions.
• Improving the codebase and machine learning lifecycle infrastructure.

Skills and Qualifications:

• Bachelor's or advanced degree in a quantitative field (e.g., Statistics, Business Analytics, Data Science).
• Strong hands-on experience in statistical methods and machine learning (especially advanced algorithms like neural networks, SVM, random forests, deep learning, or reinforcement learning).
• Expertise in 3+ classes of advanced data science algorithms.
• Experience with recommender systems.
• Experience with TensorFlow and Google Cloud Platform for scalable system implementation.
• Proficiency in data processing tools (SQL, PySpark).
• Knowledge of enterprise-level digital analytics platforms (e.g., Adobe Analytics, Google Analytics).
• Experience with large-scale video datasets.
• Team-oriented approach with a willingness to learn new methods and tools.

Other Requirements:

• Understanding of algorithmic complexity, especially for real-time/near real-time models.
• Strong understanding of Google AI Platform/Vertex AI, Kubeflow, and Airflow

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