Senior Data Scientist Operations Research | Lisbon (Hybrid)

Kvinne Consulting; Lisboa; Híbrido; Confidencial; Tempo integral

Resumo da oferta

A leading consulting firm is seeking a Senior Data Scientist – Operations Research in Lisbon. This role involves designing advanced revenue management systems and solving complex optimization problems. Candidates should have over 5 years of experience in data science, with a strong background in mathematical optimization and proficiency in Python. The position offers a competitive salary, 28 vacation days plus additional perks, and a hybrid work model.

Serviços

Competitive salary package

28 vacation days + 1 birthday day off + 1 volunteer day

Hybrid work model & flexible working hours

Private health insurance

Discounts on company services and partners

Extra perks through Coverflex benefits platform

Qualificações

• 5+ years’ experience in Data Science / Operations Research, ideally in car rental, airline, or hospitality industries.
• Strong expertise in mathematical optimization.
• Solid background in forecasting, time series modeling, and applied ML.

Responsabilidades

• Design and implement advanced Revenue Management systems.
• Formulate and solve complex optimization problems.
• Build demand forecasting and willingness-to-pay models.
• Develop and maintain robust, scalable algorithms.

Conhecimentos

Revenue Management

Pricing strategies

Mathematical optimization

Python

Forecasting

Machine Learning

Formação académica

Master’s degree in Operations Research, Applied Mathematics, Statistics

Ferramentas

Git

Descrição da oferta de emprego

Our client, a global leader in mobility, is looking for a Senior Data Scientist – Operations Research to join their team in Lisbon.

If you’re passionate about pricing models, revenue optimization, and machine learning, this is your chance to work on large-scale challenges that impact millions of customers worldwide.

Tasks

Design and implement advanced Revenue Management systems, focusing on dynamic pricing and bid price optimization.

Formulate and solve complex optimization problems (linear, nonlinear, dynamic, stochastic).

Build demand forecasting and willingness-to-pay models using time series and ML techniques.

Develop and maintain robust, scalable algorithms integrated into production systems.

Collaborate closely with cross-functional teams (engineering, product, software).

Provide mentorship and stay updated with the latest research in revenue management, operations research, and AI.

Requirements

5+ years’ experience in Data Science / Operations Research, ideally in car rental, airline, or hospitality industries.

Proven track record in Revenue Management and pricing strategies.

Strong expertise in mathematical optimization (linear, nonlinear, integer programming, stochastic).

Proficiency in Python and version control systems (e.g., Git).

Solid background in forecasting, time series modeling, and applied ML.

Master’s degree (or higher) in Operations Research, Applied Mathematics, Statistics, or a related field (preferred).

Benefits

• Competitive salary package.
• 28 vacation days + 1 birthday day off + 1 volunteer day.
• Hybrid work model & flexible working hours.
• Private health insurance.
• Discounts on company services and partners.
• Extra perks through Coverflex benefits platform.
• Continuous learning via training, conferences, and internal tech talks.

Location: Lisbon (Hybrid)