Senior Data Scientist – Revenue Optimization Analytics

Expedia; Madrid; On-site; EUR 56,000 - 78,000; Full time

Benefits offered by this job

Medical insurance

Dental coverage

Vision coverage

Paid time off

Employee Assistance Program

Wellness stipend

Travel reimbursement

Travel discounts

IATAN membership

Job summary

Expedia Group is seeking a Data Scientist III (Revenue Optimization – Analytics/Strategy) to collaborate with commercial stakeholders and ML teams, shaping Revenue Optimization initiatives for our B2B analytics group. You will analyze elasticity, pricing and profitability, delivering data-driven guidance to C-level leaders in a fast-paced environment.

You will work on cross-functional projects, extracting data from multiple sources, and translating business needs into technical requirements to

Qualifications

• Degree in data science/analytics or related field.
• 4+ years experience in Data Science or Analytics for Bachelor/Master holders; 2+ years for PhDs.
• Strong problem-solving and communication skills.

Responsibilities

• Collaborate with commercial stakeholders and ML teams to design Revenue Optimization initiatives.
• Analyze elasticity curves to guide pricing, profitability and competitiveness decisions.
• Extract and combine data from multiple sources to support model building and analytics.
• Support C-level stakeholders with actionable data-driven insights.

Skills

SQL

Python

Statistics

Problem solving

Communication

Collaboration

Education

Bachelor’s/Master’s in Data Science/Analytics

Tools

Python (pandas, scikit-learn)

SQL databases

Experiment tracking

Job description

Expedia Group is seeking a Data Scientist III (Revenue Optimization – Analytics/Strategy) to collaborate with commercial stakeholders and ML teams, shaping Revenue Optimization initiatives for our B2B analytics group. You will analyze elasticity, pricing and profitability, delivering data-driven guidance to C-level leaders in a fast-paced environment.

You will work on cross-functional projects, extracting data from multiple sources, and translating business needs into technical requirements to