Staff Data Scientist - Paid Marketing Optimization at Preply
Germany
Posted
on-site · full_time · Visa sponsorship
Responsibilities:
- Design and own the Creative Analytics framework to measure creative performance and drive decisions with creative and media-buying teams.
- Build models for cohort maturity (conversion-lag) to connect today's spend to future conversions and reduce steering delay.
- Develop value-based bidding and predicted-conversion-value models for channels like Google and Meta.
- Create uplift/attribution models and causal analyses to isolate incremental impact of creatives, audiences and bids.
- Partner with MarTech, product and applied-AI teams to productionize features, automate detection and reporting, and integrate into bidding pipelines.
- Define success metrics, run experiments, and translate results into actionable optimizations for ROI.
Requirements:
- Strong proficiency in Python and SQL; experience with Spark/Databricks or similar distributed processing.
- Deep knowledge of ML for marketing: uplift/propensity models, attribution, experiment design and causal inference.
- Practical experience with marketing/channel behavior, bidding ecosystems and MarTech integrations.
- Ability to build production data pipelines and collaborate with engineers to deploy models and monitoring.
- Strong communication and stakeholder management skills to define metrics and convince cross-functional teams.