7 часов назад
Data Scientist (m/f/d) (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI/ML) (Python/SQL): Building and improving pricing algorithms, statistical models, and machine learning solutions for hospitality operations, revenue management, and product decisions with an accent on experimentation, causal inference, and commercial impact. Focus on quantifying uncertainty, evaluating business initiatives, and productionizing scalable models with Data Engineering.
Location: Hybrid role based in Munich, Germany. Employees may work fully from the office or partially from home and the office. Relocation support is available for moves to Munich from more than 300 km away.
Company
is a tech-enabled hospitality operator providing digitally managed design accommodations across Europe through proprietary technology.
What you will do
- Design, develop, and improve pricing algorithms to maximize revenue, occupancy, and long-term profitability.
- Build and evaluate statistical models and machine learning algorithms for complex business problems.
- Quantify uncertainty, estimate business impact, and provide reliable recommendations.
- Design experiments and evaluation frameworks for products, pricing strategies, and business initiatives.
- Analyze large datasets to identify growth opportunities, operational improvements, and customer experience enhancements.
- Collaborate with Revenue Management, Product, Engineering, BI, and Data Engineering to productionize, deploy, and monitor models.
Requirements
- Degree in Data Science, Statistics, Mathematics, Computer Science, or another quantitative field, plus 3+ years of relevant hands-on experience.
- Strong knowledge of probability theory, statistical inference, regression, Bayesian statistics, experimentation, causal inference, and predictive modeling.
- Experience developing, validating, and improving machine learning models in business environments.
- Strong Python programming and modeling skills, experience with modern data science libraries, and excellent SQL skills.
- Experience working with large analytical datasets and evaluating business initiatives with statistical rigor.
- Fluent English and strong communication and stakeholder management skills are required.
Nice to have
- Interest in new analytical methods, AI, and machine learning technologies.
- Strong commercial mindset and ability to translate complex findings into practical recommendations.
Culture & Benefits
- Flexible hybrid office model with the option to work fully from the office or partly from home.
- Visa support and German language learning support after the probation period.
- Financial relocation support for moves to Munich from more than 300 km away.
- Professional development through feedback, peer reviews, exchanges, and an external learning budget.
- Workation option for up to four weeks twice per year from another country in the European Union.
- Additional wellbeing benefits, including sports membership, mental health support, staycations, and a possible three-month sabbatical after 1.5 years.
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