Responsibilities: Work with PID controllers used in bidding strategy, apply experience with generating controller response curves used in 1st price bidding, action-rate and click-thru models. Develop models to identify patterns (e.g., daily, seasonal, etc.) aimed to improve campaign runtime performance (i.e., achieve lower CPM). Work with Nielsen and similar TV viewership data (e.g, TiVo, iSpot etc.), specifically focused on building and analyzing forecasting models. Work with Linear TV campaign planning workflows, apply a deep understanding of LP-based and Heuristic-based constraint optimization frameworks. Apply different elements constituting Linear TV and Digital campaign planning to play a key role in the development of Cross-Channel Planning framework.

Salary: $111,000/year

Requirements: Master’s degree in Data Science, Statistics, Business Analytics or a related field and two years of experience in statistical and data modeling. Experience must include two years each of the following: working with Nielsen or similar TV viewership data building and analyzing forecasting models; working with Linear TV campaign planning workflows including LP-based and Heuristic-based constraint optimization frameworks; and utilizing statistical and data modeling techniques to research, develop and implement next generation prediction, optimization, and analytics technology in support of digital advertising product suite. Experience must include one year PID controllers used in bidding strategy; and one year generating controller response curves used in 1st price bidding, action-rate and click-thru models. Experience may be gained concurrently.

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Data Scientist

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