Lead Data Scientist — Ad Tech Growth & ML Leader

Appodeal

Barcelona

Presencial

EUR 60.000 - 80.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Competitive salary
Flexible work arrangements
Comprehensive benefits package
Professional development opportunities

Descripción de la vacante

Appodeal is looking for an experienced Lead Data Scientist to join our Data Science team in Barcelona. This pivotal role involves driving the data science vision aligned with business goals in the ad-tech space.

The ideal candidate has over 5 years of experience in data science, with a strong background in statistical modeling and machine learning. You'll work in a collaborative environment where innovation and continuous learning are valued, along with offering a competitive salary and comprehensive benefits.

Formación

  • 5+ years of experience in data science, preferably in a product-focused environment.
  • 2+ years experience in AdTech.
  • 2+ years experience in a leading role.
  • Strong analytical skills with the ability to derive insights from complex datasets.
  • Excellent communication and collaboration skills.

Responsabilidades

  • Drive the team’s data science vision and ensure alignment with business goals.
  • Guide and support the growth of data scientists.
  • Oversee the development of scalable, high-impact models for ad targeting.
  • Ensure the efficiency and relevance of data pipelines and models.

Conocimientos

Python
SQL
Data analysis
Statistical modeling
Machine learning
PySpark
Pandas
AWS

Educación

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field

Herramientas

PyTorch
Hydra
Comet

Descripción del empleo

Appodeal is looking for an experienced Lead Data Scientist to join our Data Science team in Barcelona. This pivotal role involves driving the data science vision aligned with business goals in the ad-tech space.

The ideal candidate has over 5 years of experience in data science, with a strong background in statistical modeling and machine learning. You'll work in a collaborative environment where innovation and continuous learning are valued, along with offering a competitive salary and comprehensive benefits.

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