Data Scientist, Marketing Analytics & Causal Inference

Remote Worker LTD.; Greater London; Remote; GBP 68,000 - 113,000; Full time

Job summary

Preply is expanding its Data Team to empower decision-making across the organization. You will own the Marketing Mix Model end to end, scale it globally, and build a self-service platform for budget planning and incrementality testing.

Applicants should have hands-on MMM experience, strong Python/SQL skills, and a solid grounding in Bayesian statistics and causal inference. Collaboration with engineering, marketing, and finance is key.

Qualifications

• Hands-on MMM experience and robust modeling skills.

Responsibilities

• Own Marketing Mix Model end to end and scale to global, automated platform.
• Turn MMM outputs into budgeting decisions with marketing and finance.
• Design and run incrementality tests and geo experiments for ROI insights.
• Build unified measurement linking MMM, attribution and incrementality.
• Lead cross‑functional initiatives with data engineering, product, and finance.

Skills

MMM

Python

SQL

Bayesian stats

Causal inference

Experiment design

Tools

Databricks

Snowflake

Looker

Apache Spark

dbt

Airflow

Job description

Preply is expanding its Data Team to empower decision-making across the organization. You will own the Marketing Mix Model end to end, scale it globally, and build a self-service platform for budget planning and incrementality testing.

Applicants should have hands-on MMM experience, strong Python/SQL skills, and a solid grounding in Bayesian statistics and causal inference. Collaboration with engineering, marketing, and finance is key.