Data Scientist – ML & Product Insights (Hybrid, Barcelona)

Smadex; Barcelona; Híbrido; EUR 45.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Great compensation package

Work from home 2 days per week

Meal vouchers

Gym allowance

Team events

Descripción de la vacante

Smadex, founded in Barcelona, invites a Data Scientist to join the ML and Product teams. You will analyze vast data from millions of mobile users and Apps to drive product and ML strategies, and build dashboards to make data-driven decisions.

This full-time role in Barcelona emphasizes strong communication, statistical skills, and an ability to present clear recommendations to cross-functional teams; remote-friendly with hybrid options.

Formación

• 3+ years of experience as a Data Scientist / Data Analyst.
• Bachelor's or Master's Degree in a Quantitative Field (Engineering, Statistics, Mathematics, Data Science).
• Strong problem-solving skills and ability to analyze data to form recommendations.
• Proficiency in Python, SQL and handling large data sets; understanding of analytic methodologies.
• Excellent verbal and written communication; knowledge of statistics and hypothesis testing.

Responsabilidades

• Analyze large, complex data sets to influence Product & ML strategies.
• Work cross-functionally with business and technical teams to support product performance.
• Develop dashboards and processes to ensure data informs decisions at all levels.

Conocimientos

Data Analysis

Statistical Methods

Communication

Educación

Bachelor's/Master's in Quantitative Field

Herramientas

Python

SQL

Descripción del empleo

Smadex, founded in Barcelona, invites a Data Scientist to join the ML and Product teams. You will analyze vast data from millions of mobile users and Apps to drive product and ML strategies, and build dashboards to make data-driven decisions.

This full-time role in Barcelona emphasizes strong communication, statistical skills, and an ability to present clear recommendations to cross-functional teams; remote-friendly with hybrid options.