Data Scientist III – Revenue Optimization

Expedia; España; Presencial; EUR 56.000 - 78.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical coverage

Dental coverage

Vision coverage

Paid time off

Employee Assistance Program

Travel discounts

IATAN membership

Descripción de la vacante

Expedia Group in Madrid is seeking a Data Scientist III to join our Revenue Optimization analytics team. You will collaborate with commercial stakeholders and ML teams to design initiatives that boost revenue and competitiveness for Expedia’s B2B business.

Responsibilities include extracting data from multiple sources, analyzing elasticity curves, and translating business needs into technical requirements for impactful projects, advising C-level leaders on strategy.

Formación

• Critical thinker with a curious mindset and strong problem-solving abilities.
• Able to spot business opportunities by analyzing patterns.
• Proficient in SQL and Python; comfortable with statistics and ML concepts.
• Experience communicating with both technical and non-technical teams.

Responsabilidades

• Extract and combine data from multiple sources to support model building and analytics.
• Design and implement actions with stakeholders to boost top- and bottom-line metrics.
• Collaborate with stakeholders to refine project scope and deliverables.
• Analyze elasticity curves to optimize partner performance.
• Deep-dive into price, profitability, and competitiveness using data and statistics.
• Continuously learn and apply new Data Science approaches to improve outcomes.

Conocimientos

SQL

Python

Probability & statistics

Machine learning

Communication

Team collaboration

Educación

Degree in Data Science or Analytics

Descripción del empleo

Expedia Group in Madrid is seeking a Data Scientist III to join our Revenue Optimization analytics team. You will collaborate with commercial stakeholders and ML teams to design initiatives that boost revenue and competitiveness for Expedia’s B2B business.

Responsibilities include extracting data from multiple sources, analyzing elasticity curves, and translating business needs into technical requirements for impactful projects, advising C-level leaders on strategy.