Develop and implement advanced data models and algorithms to optimize TV/CTV delivery and attribution, including relevance and ranking, and multi-touch/cross-channel attribution.
Build predictive models to forecast user behavior and campaign outcomes, demonstrating machine learning techniques such as regression, classification, and clustering.
Design and implement data models and innovative algorithms on high-dimensional, fast-paced, unstructured, and structured data.
Collaborate with multi-functional teams to craft and implement experiments aimed at improving advertising delivery and relevancy scoring, and ROAS.
Analyze large datasets to identify trends, patterns, and insights related to TV/CTV advertising performance.
Apply advanced statistical methods to evaluate the efficiency of advertising campaigns and recommendations.
Develop methodologies to monitor and visualize advertising performance metrics, providing actionable insights to partners.
Run large-scale statistical A/B testing to evaluate the performance of machine learning and statistical models in advertising applications.
Stay ahead of industry trends and emerging technologies in TV and CTV advertising, applying new methodologies to drive continuous improvement.
Requirements & Skills:
Master’s degree or equivalent experience or higher in Computer Science, Statistics, Mathematics, or a related field.
Proven experience (5+ years) working as a Data Scientist.
Preferably, experience in the media or advertising industry.
Proficiency in programming in Python with experience using data analysis libraries (e.g., Pandas, NumPy, scikit-learn).
Programming in R will be an advantage.
Understanding various databases and data warehouse concepts, experience with designing databases, and strong practical knowledge of SQL.
Expertise in data manipulation, cleaning, and preprocessing techniques, particularly with large-scale datasets.
Experience with big data technologies and platforms such as Hadoop, Spark, or Hive
Experience with cloud provider(s): AWS, GCP, and/or OCI.
Experience with TV/CTV advertising platforms, including knowledge of ad-serving technologies, audience targeting, and campaign optimization.
Experienced with end-to-end modeling projects emerging from research efforts.
Deep understanding of machine learning algorithms and techniques, with a focus on relevancy scoring and attribution modeling.
Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
Strong communication and collaboration skills, with the ability to work optimally in a multi-functional team environment.
Self-motivated and proactive, with a passion for using data to achieve excellence.
Plus, if you have experience in online advertising, recommender systems, ranking, e-commerce, or other areas.
