Senior Data Scientist - Marketing - Barcelona

Preply; Barcelona; Presencial; EUR 60.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

monthly lessons allowance

time off for self-development

equity

health insurance

relocation package

Descripción de la vacante

Preply is seeking a Data Scientist to partner with performance marketing, translating data into measurable growth across channels. You will build models, run experiments, and shape marketing investments, collaborating with cross-functional teams to scale strategies and uncover high-impact opportunities in a fast-paced global education marketplace.

The role combines data science, experimentation, and analytics to optimize ROI, with a focus on predictive modeling, causal inference, and scalable

Formación

• Experience applying data science in performance marketing
• Ability to translate data into measurable growth
• Strong SQL and Python coding skills

Responsabilidades

• Collaborate with performance marketing teams to develop data solutions for optimizing campaigns, budgets, and results
• Apply recommendation systems and clustering to identify effective combinations of search terms, ad copies, and landing pages
• Scale new channels and refine targeting and bidding through regression models that assign predictive weights to funnel events
• Lead rollout of LTV models and use insights to guide marketing investments and cross-functional strategy
• Design and analyze A/B tests to measure marketing effectiveness using causal inference methods
• Work with Data Engineering to build scalable data pipelines and evolve ETL processes while adopting new tools
• Contribute to cross-company initiatives aligning with the data organization’s vision
• Support applying predictive models in performance marketing channels
• Extensive experience as a Data Scientist in a B2C performance marketing context
• Knowledge of bidding, incrementality, and attribution
• Skilled in developing and deploying machine learning models
• Experience with experimentation and A/B test design/evaluation
• Experience in marketplaces or digital businesses with performance marketing
• Advanced written and verbal English communication
• Creative mindset

Conocimientos

Big data analytics

Experimentation design

Cross-functional collaboration

Regression modeling

LTV modeling

A/B testing

SQL

Python

Machine learning

Herramientas

SQL

Python

Machine Learning

Descripción del empleo

In this role you will partner with performance marketing to translate data into measurable growth. You will build and deploy models, run experiments, and shape marketing investments across channels. You’ll collaborate with cross-functional teams to scale strategies and uncover high-impact opportunities. The role combines data science, experimentation, and analytics to optimize ROI in a global education marketplace. Join a fast-paced, human-led, tech-enabled environment that values learning and impact.

• monthly lessons allowance
• time off for self-development
• equity
• health insurance
• relocation package
• Collaborate with performance marketing teams to develop data solutions for optimizing campaigns, budgets, and results
• Apply recommendation systems and clustering to identify effective combinations of search terms, ad copies, and landing pages
• Scale new channels and refine targeting and bidding through regression models that assign predictive weights to funnel events
• Lead rollout of LTV models and use insights to guide marketing investments and cross-functional strategy
• Design and analyze A/B tests to measure marketing effectiveness using causal inference methods
• Work with Data Engineering to build scalable data pipelines and evolve ETL processes while adopting new tools
• Contribute to cross-company initiatives aligning with the data organization’s vision
• Support applying predictive models in performance marketing channels
• Extensive experience as a Data Scientist in a B2C performance marketing context
• Knowledge of bidding, incrementality, and attribution
• Skilled in developing and deploying machine learning models
• Experience with experimentation and A/B test design/evaluation
• Experience in marketplaces or digital businesses with performance marketing
• Strong SQL and Python coding skills
• Creative, proactive approach to developing and evaluating new solutions
• Advanced written and verbal English communication
• Creative mindset
• Curiosity and problem-solving
• SQL
• Python
• Machine learning model development and deployment