Data Scientist — Remote, Large-Scale ML for Ad Tech

Jobgether SRL; España; Presencial; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Relocation to Berlin

Home-office budget

Learning budget

Descripción de la vacante

Jobgether SRL is seeking a Data Scientist to build and maintain machine-learning models that process massive data and support real-time advertising. You’ll work across research, experimentation, development, and deployment with a global, distributed team.

You will collaborate with ML engineers, analysts, and data scientists, applying advanced techniques, evaluating experiments, and delivering measurable business impact at scale.

Formación

• 3+ years building data science products from research to production.
• Strong Python, Spark, Hadoop, Airflow, Docker, SQL.
• Experience with ads/Ad-Tech is required.
• Production use of CatBoost or LightGBM is a plus.
• Experience with neural networks and reinforcement learning is valuable.

Responsabilidades

• Develop, improve, and maintain data science products through the full lifecycle.
• Enhance existing models by new features and parameter tuning.
• Collaborate with ML engineering, analysts, and data scientists to deploy scalable algorithms.
• Explore data sources to improve model performance and generate insights.
• Design, run, and evaluate A/B tests to guide modeling decisions.
• Monitor model and product performance with dashboards and SQL tools.

Conocimientos

Python

Spark

SQL

Docker

Airflow

Hadoop

CatBoost/LightGBM

Neural networks

A/B testing

Communication

Herramientas

CatBoost

LightGBM

TensorFlow

Docker

SQL dashboards

Descripción del empleo

Jobgether SRL is seeking a Data Scientist to build and maintain machine-learning models that process massive data and support real-time advertising. You’ll work across research, experimentation, development, and deployment with a global, distributed team.

You will collaborate with ML engineers, analysts, and data scientists, applying advanced techniques, evaluating experiments, and delivering measurable business impact at scale.