Staff Data Scientist - Paid Marketing Optimization

The role

You will design and develop a Creative Analytics framework and build models for cohort maturity prediction, bidding signal optimization, and audience optimization. You will work with cross-functional teams to derive data driven solutions to increase channel ROI.

What you will do

• Own, design and develop the Creative Analytics Framework
• Drive findings into decisions with creative and media-buying teams
• Automate detection, reporting and action with MarTech
• Build models to predict incremental drivers of creative efficiency
• Predict how many clicks will convert to minimize steering delay
• Improve predicted conversion value sent to Google and Meta
• Create customer uplift models to identify incremental value
• Build audiences for prospecting, remarketing and exclusion lists
• Work with Data Engineering and Applied AI on scalable data pipelines

Required qualifications

• Python
• SQL
• Distributed framework like Spark
• Experience with marketing or attribution data
• Working understanding of how bidding platforms consume signal
• Advanced modelling
• Propensity models
• Uplift models
• Causal inference
• Experiment design
• Comfort working across teams you don't control

Nice to have

• Experience from marketing DS, ads ML, recommender systems or any applied ML role where model output fed another algorithm

Benefits

• Open, collaborative, dynamic and diverse culture
• Monthly allowance for lessons on Preply.com
• Learning & Development budget and time off for self-development
• Competitive financial package with equity
• Leave allowance
• Health insurance
• Relocation package to join the Preply Barcelona Hub
• Access to free mental health support platforms
• Access to Gympass-partnered wellness and gym centers throughout Spain

About the company

Preply is a category-defining Ed-Tech company that helps people discover tutors and craft personalised learning journeys. They have reached unicorn status with a $150M Series D.