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Staff Data Scientist - Marketing

preplyAmsterdamData
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Salary
Not listed
Job type
Full-time
Experience
Senior
Posted
30 Sept 2026
Status
Open · checked 7d ago

About this role

Preply is seeking a Senior Data Scientist - Marketing for an Amsterdam-based position to own and scale the marketing mix model and drive budget allocation decisions. This role suits an experienced data professional with a strong background in Bayesian statistics and marketing analytics who wants to shape global educational technology initiatives.

Role Overview

Preply is hiring a Senior Data Scientist - Marketing to join the data team in Amsterdam. This professional will embed within cross-functional teams to steer budget planning, advance the marketing mix model globally, and expand causal inference practices across the organization. The position involves full ownership of modeling infrastructure and requires collaboration with marketing, finance, product, and engineering chapters.

Key Responsibilities

Own the marketing mix model end-to-end by expanding it from a regional setup into a global, hierarchical, and automated platform for budget steering
Translate model outputs into strategic decisions by partnering with performance marketing and finance teams
Steer the testing roadmap through model signals, designing and executing incrementality tests and geo experiments to measure ROI
Build a unified measurement framework combining attribution, incrementality, and marketing mix modeling
Extend causal inference initiatives beyond marketing into experimentation, forecasting, and risk management with Finance and Product
Design and scale a self-service platform for budget planning and incrementality testing alongside engineering and marketing
Collaborate with Data Engineering to develop scalable pipelines and evolve the ETL stack

Requirements

Demonstrated hands-on experience developing and refining marketing mix models through multiple testing approaches
Strong foundation in Bayesian statistics applied rigorously to causal inference and modeling
Experience translating model outputs into actionable insights for marketing and finance stakeholders
Expertise in designing and evaluating A/B tests and incrementality experiments
Proficiency in Python and SQL
Advanced written and verbal communication skills in English
Practical problem-solving approach focused on simplicity over unnecessary complexity

Nice to Have

Background in causal inference techniques such as geo-lift testing, causal impact, synthetic control, and difference-in-differences
Prior experience with Databricks, Snowflake, and Looker
Familiarity with Apache Spark
Knowledge of orchestration tools including dbt and Airflow
Experience working in marketplaces, digital businesses, or performance marketing

Skills and Tools

Python
SQL
Bayesian Statistics
Marketing Mix Modeling
A/B Testing and Incrementality Testing
Databricks
Snowflake
Looker
Apache Spark
dbt
Airflow

Salary and Benefits

Competitive financial package including equity, leave allowance, and health insurance
Monthly allowance for lessons on Preply, plus a dedicated learning and development budget and self-development time off
Relocation package for candidates joining the Barcelona Hub from outside the city
Access to free mental health support platforms
Gympass-partnered wellness and gym center access throughout Spain
Open, collaborative, and diverse work culture

About the Company

Preply operates a global learning platform connecting hundreds of thousands of tutors with learners across numerous countries and languages. Reaching unicorn status with a major Series D funding round, the organization focuses on human-led, AI-enhanced education. The company follows core principles emphasizing disciplined execution, a growth mindset, collaboration, and a deep commitment to making a lasting impact on learners worldwide.

How to Apply

Interested candidates should apply directly on the official company careers page.

Skills and tech stack

PythonSQLDatabricksSnowflakeLookerApache SparkdbtAirflowSparkMachine Learning

Questions candidates ask

What is the primary focus of the Senior Data Scientist - Marketing role at Preply?

The primary focus is owning and scaling the marketing mix model globally, turning model outputs into budget allocation strategies, and driving incrementality testing and causal inference initiatives.

What technical skills are required for this position?

Candidates must have strong Python and SQL skills, expertise in Bayesian statistics, hands-on marketing mix modeling experience, and a background in designing and evaluating experimentation and incrementality tests.

Where is this job located?

The posting specifies an Amsterdam location, with relocation packages also mentioned for joining the Barcelona Hub depending on applicant circumstances.

What tools and frameworks are nice to have for this role?

Preferred technologies include Databricks, Snowflake, Looker, Apache Spark, dbt, and Airflow, along with specific causal inference techniques like geo-lift testing and synthetic control.

Does Preply offer relocation support?

Yes, Preply offers an attractive relocation package for candidates joining the Barcelona Hub from outside the city.

Ready to apply?

The application is on the official preply careers page.

Apply on company site