Senior Applied Scientist, Ad Measurements Science
Core
Developing end-to-end ad measurement solutions and AI tools to quantify the comprehensive impact of advertiser ad spend (online/offline) and automate customer workflows.
Role type
Senior Applied Scientist (Ad Measurements Science)
Builds
Scalable measurement models, AI tools for report generation, and production ML solutions for advertiser media portfolios.
Domain
Advertising technology, performance measurement, causal inference
Deliverable
production ML models
Required skills
Machine learning model development, Generative AI, Causal Inference, Natural Language Processing, Computer Vision, Neural deep learning methods, Statistical modeling, Experimentation design, Python, Java, C++, R, Spark MLLib, Tensorflow, numpy, scipy
Preferred skills
Large scale distributed systems (Hadoop, Spark), Modeling tools (scikit-learn, MxNet)
Responsibilities
Lead development of ad measurement models addressing full advertiser investment spectrum; Collaborate with engineering and product teams to define and implement solutions; Drive experimentation and continuous improvement of ML models; Mentor junior scientists; Engage with scientific community via presentations and publications.
Seniority
Senior, hands-on IC with mentorship