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Senior Data Scientist, Applied Science — Shape Mobility

Cabify

Madrid

Presencial

EUR 50.000 - 70.000

Jornada completa

Ayer
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Descripción de la vacante

A tech mobility company based in Madrid is seeking a Senior Data Scientist to join their Data Science, Applied Science team. In this role, you will lead high-impact data science projects, contribute to real-life experiments, and help transform data insights into business value. Candidates should have at least 5 years of experience, strong knowledge in Python and SQL, and a Master's or PhD in a relevant field. The company offers excellent salary conditions and a flexible work environment.

Servicios

Excellent salary conditions
Recharge days (10 Free Fridays annually)
Flexible work environment
Personal development programs
Coursera access
Free access to therapy sessions
Flexible compensation plan
Pet room
Free coffee and fruit

Formación

  • 5+ years as a data scientist or in a similar research role.
  • Strong educational background in relevant fields is required.
  • Ability to work independently in unstructured environments.

Responsabilidades

  • Develop high-impact data science projects collaborating with various teams.
  • Analyze results of experiments to demonstrate impact.
  • Translate data science work into business insights.

Conocimientos

Python for data analysis
SQL coding
Machine learning deployment
Statistical significance analysis
Geo data modeling

Educación

Master/PhD in Computer Science
Master/PhD in Physics
Master/PhD in Engineering
Master/PhD in Mathematics
Master/PhD in Economics
Descripción del empleo
A tech mobility company based in Madrid is seeking a Senior Data Scientist to join their Data Science, Applied Science team. In this role, you will lead high-impact data science projects, contribute to real-life experiments, and help transform data insights into business value. Candidates should have at least 5 years of experience, strong knowledge in Python and SQL, and a Master's or PhD in a relevant field. The company offers excellent salary conditions and a flexible work environment.
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