Principal Data Scientist (Deep Learning)
- Türkiye
- Kontrat
- Tam zamanlı
- Build and manage a high-performance team of data scientists.
- Lead the team in the development of a recommendation system modeling and experimentation framework.
- Work with business stakeholders to define priorities, approaches and business requirements for the analytical solutions.
- Manage multiple priorities across business verticals and machine learning lifecycle projects.
- Lead work with engineering teams to define data science driven requirement and solutions for major initiatives and opportunities of the streaming service functionality.
- Drive innovation of the statistical and machine learning methodologies and tools used by the team. Lead improvements in machine learning lifecycle infrastructure.
- Drive a data science culture that inspires and motivates the team to succeed.
- Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.
- 6+ years of combined experience in software development or data science
- Experience with commercial recommender systems or a lead role in an advanced research recommender system project.
- Cloud certification (with exam) in either solutions architecture or Machine Learning from AWS, Google, Microsoft, or other major cloud software provider
- Working experience with deep learning, including computer vision, computational linguistics/conversational AI, or recommender systems. Strong experience with deep learning using TensorFlow.
- Experience with Google AI Platform/Vertex AI, Kubeflow and Airflow.
- Proficiency in Python. Go, Scala, or Java is a plus.
- Experience in data processing using SQL and PySpark, and extensive experience with NoSQL and Feature Store production interactions
- Good understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models.
- Experience in content streaming or commerce as a senior contributor to AI/ML-powered product features and user experiences
- Experience with reinforcement learning based systems.
- Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.).
- Experience with large-scale video assets.
- Ability to build trust across the organization and socialize solutions and identified data insights
- Pride and ownership in your work and confident representation of your team to other parts of NBCUniversal.
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