Preply

Staff Data Scientist - Paid Marketing Optimization

London, Remote. Posted a month ago

The role

You will design and develop a Creative Analytics framework and work on cohort maturity prediction, bidding signal optimization, and audience optimization. You will partner with MarTech, marketing, and AI 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
  • 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

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.

Staff Data Scientist - Paid Marketing Optimization at Preply | JobZoey