NBCU's Media Group Decision Sciences team is looking to create analytical solutions for their video streaming service, including recommender systems, personalized advertising, and revenue optimization, to enhance the real-time user experience and business outcomes.
Requirements
- 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
- 5+ years of experience in statistical methods and machine learning within industry and research.
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
- Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.
- Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week.
- Strong sense of curiosity, accountability, and ability to execute projects of all sizes with clear vision and purpose.
