обновлено 1 день назад
Global Data Scientist (Pricing & Revenue Optimization)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Global Data Scientist (Pricing & Revenue Optimization): Building advanced pricing, promotion, and machine learning systems for 5,500+ locations and millions of SKUs with an accent on demand modeling, causal inference, and production ML engineering. Focus on deploying scalable optimization algorithms, designing experimentation frameworks, and translating model outputs into commercial recommendations for senior stakeholders.
Location: Madrid, Spain or Milan, Italy; hybrid flexibility
Company
is a global travel retail and food-and-beverage company operating more than 5,500 outlets across over 75 countries.
What you will do
- Develop price elasticity, dynamic pricing, margin optimization, and price architecture models at SKU, category, and location level.
- Build causal inference and promotion ROI models to optimize mechanics, timing, target segments, and budget allocation.
- Implement production-quality models in Python and build scalable data pipelines with Airflow and Spark.
- Deploy ML systems on AWS, GCP, or Azure with monitoring, alerting, and automated retraining.
- Set data science engineering standards, conduct code reviews, mentor mid-level data scientists, and contribute to technical hiring.
- Present model insights to commercial teams and C-suite stakeholders while designing A/B tests and quasi-experiments.
Requirements
- MS or PhD in a quantitative field, or a bachelor's degree with 8+ years of applied data science experience.
- Expert Python and advanced SQL skills, including work with large datasets of 100M+ rows.
- 6+ years of applied data science experience, including 3+ years in pricing, revenue management, yield optimization, or dynamic pricing.
- Strong expertise in statistics, econometrics, machine learning, causal inference, experimentation, and optimization algorithms.
- Experience deploying production ML models with monitoring, retraining, alerting, cloud platforms, and MLOps practices.
- Excellent written and verbal English communication is required.
Nice to have
- PhD focused on pricing, auctions, or mechanism design.
- 8+ years of data science experience with progression to lead or principal level.
- Experience in retail, e-commerce, travel, hospitality, marketplaces, top-tier technology companies, or high-growth startups.
- Experience with large-scale pricing systems or reinforcement learning for pricing and promotion optimization.
Culture & Benefits
- Work in a global organization with more than 76,000 employees representing over 150 nationalities.
- Collaborate with regional pricing, commercial, product, engineering, and business teams.
- Influence pricing and promotional decisions across a geographically diverse travel business.
- Use a hybrid work arrangement from the Madrid or Milan office.
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