Senior Data Scientist
Industry: Mobility Tech | Location: Lisbon, Portugal | Work Model: Hybrid
Start Date: ASAP | Seniority: Mid-Senior Level
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
- generation pricing strategies by applying
- edge techniques like price elasticity modeling , bid price optimization , and advanced machine learning to optimize pricing decisions for millions of customers worldwide.
Your work will directly drive revenue management processes and enhance the customer experience in one of the most innovative mobility companies in Europe.
Your Role
Revenue Management & Price Optimization: Design, develop, and deploy advanced revenue management systems focusing on dynamic pricing and bid price optimization.
Operations Research Modeling: Formulate and solve complex optimization problems (linear, nonlinear, dynamic, stochastic) to maximize revenue and support key
- making.
Demand Forecasting & WTP: Create forecasting models using time series and ML to capture customer demand and
-
- pay.
Algorithm & Tool Development: Build and maintain scalable algorithms that integrate with production systems.
Cross-Functional Collaboration: Work closely with product managers, engineers, and developers to deploy
-
- end analytical solutions.
Thought Leadership: Stay current on the latest research in OR and ML, mentoring junior colleagues.
Your Qualifications
5+ years in data science / operations research , ideally within car rental, airlines, or travel sectors.
Proven experience in revenue management and pricing optimization systems.
Strong skills in optimization, mathematical modeling, and solvers (linear, nonlinear, integer programming).
Proficiency in Python for data analysis, modeling, and deployment (Git experience preferred).
Hands-on experience with demand forecasting, time series, and regression models.
Master’s (or higher) in Operations Research, Applied Mathematics, Statistics , or a related field.
Experience designing or implementing bid price models in
- scale RM systems (preferred).
The Offer
Time Off: 28 vacation days + birthday + 1 volunteer day.
Flexibility: Hybrid model, flexible hours, no dress code.
Perks: Discounts on SIXT rent/share/ride, plus partner discounts.
Growth: Access to training, conferences, and internal tech talks.
Well-being: Private health insurance.
Extras: Coverflex advantage system for additional benefits.
If you’re passionate about applying machine learning and optimization to
- world mobility challenges , this is your chance to shape smarter, more sustainable cities — and see your work have a direct impact.
Apply now or send your CV to paula. skalecka@workster. jobs
- Informações detalhadas sobre a oferta de empregoEmpresa: Workster Localização: Lisboa 
 Lisboa, Lisboa, PortugalPublicado: 31. 10. 2025 
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