NBCUniversal is looking to create analytical solutions for its video streaming service, including recommender systems, automated marketing, personalized advertising, commerce and revenue optimization, and customer journey/CRM solutions.
Requirements
- 5+ years of experience in statistical methods and machine learning within industry and research.
- Understanding of algorithmic complexity of model training and testing, particularly for real-time and near real-time models.
- Has strong knowledge of causal inference techniques, Gen AI (LLM) implementation, or reinforcement learning.
- Solid technical knowledge of A/B testing methodologies, experimental design, statistics and other analytical concepts.
- Experience implementing scalable, distributed, and highly available systems using Google Cloud.
- Proficient in Python and SQL
- Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.
Responsibilities
- Lead development of analytical models using statistical, machine learning and data mining methodologies.
- Define procedures for cleansing, discretization, imputation, selection, generalization etc. to create high quality features for the modeling process.
- Use big data, relational and non-relational data sources to access data at the appropriate level of granularity for the needs of specific analytical projects.
- Collaborate with software and data architects in building real-time and automated batch implementations of the data science solutions and integrating them into the streaming service architecture.
- Drive work on improving the codebase and machine learning lifecycle infrastructure.
- Advise, help to resolve issues and handle non-standard cases.
- Maintain up to date knowledge of the relevant data set structures and participate in defining necessary upgrades and modifications.
Other
- Effectively communicate with team members, project partners and business stakeholders on goals, procedures, timelines and expectations.
- Proactively anticipate/identify upcoming issues and take initiatives to provide solutions
- Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics,
- Experience on implementing and owning end-to-end data projects with a diverse group of stakeholders
- Experience with television ratings and digital measurement tools (Nielsen, Rentrak, ComScore etc.)
