We are seeking highly skilled Data Scientists with a deep understanding of advertising technologies to join our dynamic team and help us revolutionize the broadcast and OTT landscape.
Job Overview:
As a Data Scientist specializing in Media Mixed Modeling (MMM) and Multi-touch Attribution (MTA), you will play a critical role in analyzing and optimizing media performance for our broadcast and OTT platforms. You will be responsible for developing advanced models that provide actionable insights into the effectiveness of marketing campaigns across different media channels. The ideal candidate has strong experience in data analytics, engineering, ad sales systems, and product management within the advertising technology space.
Key Responsibilities:
- Design, develop, and implement Media Mixed Models (MMM) and Multi-touch Attribution (MTA) models to measure the effectiveness of advertising campaigns across various media channels (broadcast, digital, OTT).
- Analyze large datasets to determine key factors influencing media performance and attribution, providing recommendations to optimize media spend and improve ROI.
- Collaborate closely with ad sales, marketing, and product teams to align modeling outcomes with business goals and campaign strategies.
- Work with data engineering teams to ensure efficient data collection, transformation, and storage for MMM and MTA model development.
- Use advanced statistical and machine learning techniques to continuously improve model accuracy and prediction performance.
- Present findings and insights to stakeholders, translating complex technical concepts into clear and actionable business strategies.
- Stay current with industry trends, best practices, and emerging methodologies in data science, ad tech, and media performance measurement.
- Contribute to the development of analytics tools, dashboards, and platforms to enable real-time decision-making for ad sales teams.
Qualifications:
- 5+ years of product management experience, with at least 3 years focused on ad tech or advertising technology in the broadcast or OTT space.
- Demonstrated experience in developing Media Mixed Modeling (MMM) and Multi-touch Attribution (MTA) models.
- Deep understanding of ad sales systems, including how media performance and sales data are collected, managed, and analyzed.
- Strong experience in data analytics and data engineering, with the ability to work with large datasets and ensure efficient data pipelines for modeling.
- Familiarity with OTT platforms and broadcast media, including understanding how digital and traditional media campaigns are structured and measured.
- Proficiency in programming languages such as Python or R and experience with tools like SQL, Tableau, and Power BI for data analysis and visualization.
- Strong understanding of statistical methods and machine learning techniques such as regression analysis, time series modeling, and clustering.
- Excellent communication skills with the ability to present technical findings to non-technical stakeholders.
- A passion for leveraging data to optimize media campaigns and drive business value.
Preferred Qualifications:
- Experience with AdTech platforms like Google Marketing Platform, Adobe Analytics, or The Trade Desk.
- Familiarity with cloud environments such as AWS, Azure, or Google Cloud for data storage and processing.
- Knowledge of advanced machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.