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Data Scientist

Job in Genf, Geneva, Switzerland
Listing for: MSC CRUISES
Full Time position
Listed on 2026-06-08
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 CHF Yearly CHF 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Location: Genf

JOB PURPOSE

Are you passionate about uncovering insights from data and driving innovative solutions? Do you excel at solving complex problems and developing advanced models? If so, we have the perfect opportunity for you!

We are seeking a highly skilled and motivated Data Scientist to join our dynamic Revenue Management team. In this role, you'll harness your expertise in data analysis, statistical modeling, and machine learning to optimise our revenue strategies.

KEY ACCOUNTABILITIES

• Analyse large datasets to identify trends, patterns, and opportunities for revenue growth.

• Develop and implement predictive models to forecast demand and optimise pricing strategies.

• Apply time series analysis and machine learning theory to improve demand forecasting and inventory management.

• Manage and improve interactive web applications for data visualisation.

• Perform web scraping to gather external data relevant to revenue management.

• Generate actionable insights from data analysis to support decision-making processes.

• Present findings and recommendations in a clear and concise manner.

• Review and document code to ensure clarity, maintainability, and best practices.

• Stay current with industry trends and advancements in data science methodologies.

QUALIFICATIONS (skills, competencies, experience)

• Master’s degree in Data Science, Statistics, Economics, Computer Science, or a related field.

• Proven experience as a Data Scientist, preferably in the travel, hospitality, or related industries.

• Proficiency in programming languages such as Python and SQL.

• Experience with Tensor Flow, Keras, Streamlit, Prophet.

• Strong analytical skills with the ability to interpret complex data sets.

• Knowledge of machine learning techniques and algorithms, and time series analysis.

• Excellent communication and presentation skills.

• Ability to work collaboratively in a team environment.

• Knowledge of web scraping techniques and tools.

• Proven capability to industrialise models and implement solutions into production environments.

• Experience with deploying applications and models using Docker, Jenkins, and other similar tools.

• Strong skills in ETL processes and data architecture.

VISA REQUIREMENTS (if any)

EU Passport or Right to work in Switzerland.

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