The ideal candidate's is a data scientist with linear TV experience using python, sql and snowflake.
- Analyze raw Nielsen TV ratings data, TV rates/costs by program, linear TV plans: assessing quality, cleansing, structuring for downstream processing and ETL.
- Loads data, runs reports, publishes reports.
- Collaborate with engineering team to bring analytical prototypes to production.
- Generate actionable insights for linear TV data driven learning, insights and planning.
Qualifications
- Bachelor's degree or equivalent experience in quantitative field (Data Science, Statistics, Mathematics, Computer Science, Engineering, etc.)
- At least 2 - 3 years' of experience in linear TV data modeling.
- Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms to predict persons viewership.
- Fluency in a programming language (Python, SQL)
- Familiarity with Big Data frameworks (Snowflake) and visualization tools (Tableau)