Senior Data Scientist, Applied Science — Shape Mobility

Cabify; Madrid; Presencial; EUR 50.000 - 70.000; Jornada completa

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.