Data Scientist

Nexxen • Redwood City, CA

404d • $111,000 - $111,000

About The Position

The position involves working with PID controllers used in bidding strategy and applying experience with generating controller response curves used in 1st price bidding, action-rate, and click-thru models. The role requires developing models to identify patterns such as daily and seasonal trends aimed at improving campaign runtime performance, specifically to achieve lower CPM. Additionally, the candidate will work with Nielsen and similar TV viewership data, focusing on building and analyzing forecasting models. The position also entails working with Linear TV campaign planning workflows and applying a deep understanding of LP-based and Heuristic-based constraint optimization frameworks. The candidate will play a key role in the development of a Cross-Channel Planning framework by applying different elements constituting Linear TV and Digital campaign planning.

Requirements

• Master's degree in Data Science, Statistics, Business Analytics or a related field.
• Two years of experience in statistical and data modeling.
• Experience must include two years working with Nielsen or similar TV viewership data building and analyzing forecasting models.
• Two years of experience working with Linear TV campaign planning workflows including LP-based and Heuristic-based constraint optimization frameworks.
• 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.
• One year of experience with PID controllers used in bidding strategy.
• One year of experience generating controller response curves used in 1st price bidding, action-rate, and click-thru models.

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) aimed to improve campaign runtime performance (i.e., achieve lower CPM).
• Work with Nielsen and similar TV viewership data (e.g., TiVo, iSpot) 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.
• Contribute to the development of Cross-Channel Planning framework.

What This Job Offers

• Industry: Professional, Scientific, and Technical Services
• Education Level: Master's degree