Growth Data Scientist Lead Scoring & Sales Analytics Madrid

ebury anz; Madrid; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private health insurance

Birthday off

Career progression

Continuous learning

Descripción de la vacante

Ebury is seeking a Data Scientist - Growth in Madrid to drive advanced analytics for sales enablement and growth modelling. You will develop models for Lead Scoring, conversion, profitability, and integrate insights into sales platforms.

You will collaborate with Data Engineers and Sales Analysts, apply Python and ML libraries, and communicate findings to stakeholders to shape growth strategy. A hybrid work pattern and opportunities for career progression accompany a competitive package.

Formación

• 2+ years of experience in Data Science or related roles.
• Proficiency in Python and machine learning libraries.
• Strong understanding of statistics and ML models.
• Excellent communication and collaboration with stakeholders.
• Experience collaborating with cross-functional teams.
• Curiosity and willingness to learn.

Responsabilidades

• Drive Growth modelling and predictive analytics to improve revenue opportunities.
• Develop and refine models for sales enablement and growth (lead scoring, conversion, profitability).
• Analyze and optimize sales data to enhance lead scoring and strategies.
• Collaborate with Data Engineers and Sales Analysts to integrate models into sales platforms.
• Support the adoption of advanced analytics tools within the sales team.

Conocimientos

Python

SQL

ML libraries

Communication

Cross-functional

Problem-solving

Self-motivation

Herramientas

GCP

Salesforce

LLMs

Descripción del empleo

Ebury is seeking a Data Scientist - Growth in Madrid to drive advanced analytics for sales enablement and growth modelling. You will develop models for Lead Scoring, conversion, profitability, and integrate insights into sales platforms.

You will collaborate with Data Engineers and Sales Analysts, apply Python and ML libraries, and communicate findings to stakeholders to shape growth strategy. A hybrid work pattern and opportunities for career progression accompany a competitive package.