Senior Data Scientist (OOH Advertising)

OOH Analytics & Measurement

• Design and implement impression estimation models using mobility and traffic datasets
• Develop methodologies for reach, frequency, and audience exposure
• Build store visitation (Go-To-Store) models using geospatial intelligence
• Define campaign KPIs and measurement frameworks

Geospatial & Mobility Intelligence

• Work with GPS mobility data, POIs, and spatial joins
• Model audience movement patterns and catchment areas
• Estimate exposure likelihood based on proximity and movement

Optimisation & Media Planning

• Build media selection algorithms based on budget, audience, and performance
• Develop ranking and scoring systems for media inventory
• Create optimisation engines to maximise reach and impressions

Advanced AI Systems

• Build predictive models for campaign performance and media effectiveness
• Develop experimentation frameworks and A/B testing systems
• Implement agent-based systems for campaign insights and automation

• Strong ML/DL fundamentals and statistical modelling
• Python, SQL, PySpark and knowledge of large-scale data processing tools such as Ray
• Experience with LLMs, RAG, and vector databases
• Strong understanding of OOH advertising and geospatial analytics
• 5+ years of experience in AI engineering / data science

• Experience in OOH, AdTech, or location intelligence platforms
• Experience with mobility or foot traffic datasets
• Knowledge of GIS systems and spatial indexing