Marketing ML Scientist: Data that Shapes Decisions

INDARU; Cataluña; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

Indaru is seeking a Data Scientist who loves applying machine learning to real commercial problems in Barcelona. You will build models for MMM, forecasting, segmentation and attribution and turn outputs into actionable client recommendations.

You’ll collaborate across teams to integrate data from Google Ads, Meta, GA, YouTube and Amazon, design dashboards in Looker Studio, Shiny and Power BI, and present findings directly to clients.

Formación

• Strong Python for data science with large GB–TB datasets.
• Solid SQL with complex queries.
• Rigorous, detail‑oriented and self‑directed work style.
• Collaborative and client-facing mindset.
• Excellent written and spoken English (C1).
• Degree in CS/Math/Stats/Engineering or related quantitative field.

Responsabilidades

• Develop ML models for marketing mix modelling, forecasting, segmentation, and attribution.
• Contribute to MMM platform and sustainability metrics products.
• Turn model output into actionable client recommendations.
• Build and optimize ELT data pipelines integrating Google Ads, Meta, GA, YouTube and Amazon.
• Design and maintain dashboards in Looker Studio, Shiny, Power BI.
• Present findings directly to clients.

Conocimientos

Python for data science

SQL

Attention to detail

Collaborative

English (C1)

Educación

Degree in Computer Science, Mathematics, Statistics, Engineering or related quantitative field

Herramientas

TensorFlow/Keras

PyMC

PySpark

Google Cloud

Looker Studio

Shiny

Power BI

Descripción del empleo

Indaru is seeking a Data Scientist who loves applying machine learning to real commercial problems in Barcelona. You will build models for MMM, forecasting, segmentation and attribution and turn outputs into actionable client recommendations.

You’ll collaborate across teams to integrate data from Google Ads, Meta, GA, YouTube and Amazon, design dashboards in Looker Studio, Shiny and Power BI, and present findings directly to clients.