Senior Data Scientist – Operations Research (Hybrid In Lisbon)

Workster; Vitoria; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading global recruitment company is seeking a Senior Data Scientist for Operations Research to enhance pricing strategies. Responsible for developing advanced revenue management systems, forecasting models, and algorithms, the ideal candidate has over 5 years of experience, particularly in the travel sector. This mid-senior level position offers a hybrid model and generous employee benefits including private health insurance and 28 days of vacation.

Servicios

28 days of vacation

Hybrid working model

Private health insurance

Discounts on SIXT services

Training programs and conferences

Formación

• 5+ years in data science and operations research roles.
• Proven track record of implementing revenue management systems.
• Strong background in mathematical optimization.

Responsabilidades

• Design and develop advanced revenue management systems.
• Create forecasting models using time series and machine learning.
• Develop algorithms that integrate seamlessly with production systems.

Conocimientos

Data analysis

Mathematical optimization

Machine learning

Forecasting

Python programming

Analytical mindset

Educación

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

Herramientas

Python

Git

Descripción del empleo

Senior Data Scientist – Operations Research (Hybrid in Lisbon)

Direct message the job poster from Workster

International Recruitment Expert | Fostering Careers Across Europe through Language Proficiency at Workster.jobs |

Workster is partnering with a global leader in mobility solutions to find a skilled Senior Data Scientist – Operations Research to join their team. Help shape next-generation pricing strategies by applying cutting-edge techniques like price elasticity modeling, bid price optimization, and advanced machine learning to optimize pricing decisions for millions of customers. Your work will directly drive revenue management processes and enhance the user experience.

Your Role

• Revenue Management & Price Optimization: Design, develop, and deploy advanced revenue management systems focusing on dynamic pricing and bid price optimization strategies.
• Operations Research Modeling: Formulate and solve complex optimization problems (linear, nonlinear, dynamic, stochastic) to maximize revenue and support key decision-making processes.
• Demand Forecasting & Customer Willingness-to-Pay: Create and refine forecasting models using time series and machine learning methods to capture customer demand and willingness-to-pay.
• Algorithm & Tool Development: Build and maintain robust algorithms that integrate seamlessly with production systems, ensuring efficiency and scalability.
• Cross-Functional Collaboration: Work closely with product managers, data engineers, and software developers to deploy end-to-end solutions and continuously improve analytical models.
• Thought Leadership: Stay current on the latest research in revenue management, operations research, and machine learning. Provide mentorship and guidance to junior team members.

Your Qualifications

• Industry Experience: 5+ years in data science and operations research roles, ideally within car rental, airlines, or similar travel / hospitality sectors.
• Revenue Management Expertise: Proven track record of implementing or optimizing revenue management systems and pricing strategies.
• Optimization & Solvers: Strong background in mathematical optimization (linear, nonlinear, integer programming), solvers, and algorithm design (dynamic / stochastic programming).
• Machine Learning & Forecasting: Proficient in demand forecasting, time series modeling, and modern ML techniques (especially regression).
• Programming Skills: Expertise in Python for data analysis, modeling, and production deployment. Familiarity with version control systems (e.g., Git).
• Analytical Mindset: Ability to translate complex business problems into actionable analytical tasks and clearly communicate findings to various audiences.
• Pricing & Bid Price Optimization: Practical experience designing or implementing bid price models in large-scale revenue management systems (preferred).
• Education: Master’s degree (or higher) in Operations Research, Applied Mathematics, Statistics, or a related quantitative field (preferred).

The Offer

• Generous Time Off: Enjoy 28 days of vacation, an additional day off for your birthday, and 1 volunteer day per year.
• Work-Life Balance & Flexibility: Benefit from a hybrid working model, flexible working hours, and no dress code.
• Great Employee Benefits: Access discounts on SIXT rent, share, ride, and SIXT+, along with partner discounts.
• Training & Development: Participate in training programs, external conferences, and internal dev & tech talks for personal growth.
• Health & Well-being: Private health insurance to support your well-being.
• Additional Perks: Enjoy the Coverflex advantage system to enhance your employee experience.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Production and Information Technology

Industries

• Staffing and Recruiting

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