Senior Marketing Data Scientist, MMM & Causal Inference

Preply; Barcelona; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Learning & Development budget

Health insurance

Relocation package

Gympass wellness

Mental health support

Job summary

Preply is seeking a Staff Data Scientist - Marketing to lead Marketing Mix Modelling end-to-end, turning outputs into actionable budget decisions and influencing cross-functional strategy. You will design experiments, build self-serve platforms, and collaborate with Data Engineering to scale pipelines.

You should bring strong Bayesian statistics, MMM experience, and advanced Python/SQL skills, with fluent English and a pragmatic problem-solving mindset.

Qualifications

• Strong Bayesian statistics applied to MMM and causal inference.
• Hands-on MMM experience with end-to-end models.
• Experience turning MMM outputs into marketing and finance actions.
• Experience designing incrementality tests and A/B experiments.
• Strong Python and SQL skills.
• Advanced written and verbal English.

Responsibilities

• Own Marketing Mix Model end to end and automate platform.
• Translate MMM outputs into budget decisions with marketing and finance.
• Design and run incrementality tests and geo experiments.
• Build unified measurement framework tying MMM, attribution, and incrementality.
• Drive cross-company initiatives extending causal inference—forecasting, risk.
• Build full-stack self-service platform for budget planning and testing.
• Collaborate with Data Engineering to evolve ETL and pipelines.

Skills

Bayesian statistics

Python

SQL

MMM (Marketing Mix Modelling)

Experimentation

Causal inference

Communication skills

English (Advanced)

Tools

Databricks

Snowflake

Looker

Apache Spark

dbt

Airflow

Job description

Preply is seeking a Staff Data Scientist - Marketing to lead Marketing Mix Modelling end-to-end, turning outputs into actionable budget decisions and influencing cross-functional strategy. You will design experiments, build self-serve platforms, and collaborate with Data Engineering to scale pipelines.

You should bring strong Bayesian statistics, MMM experience, and advanced Python/SQL skills, with fluent English and a pragmatic problem-solving mindset.