Machine Learning Scientist II (AI)

TL;DR

Machine Learning Scientist II (AI): Creating state-of-the-art machine learning models to improve decision-making across the travel platform with an accent on forecasting demand, suggesting prices and deals, providing automated conversational AI, and offering guided recommendations for hotels. Focus on utilizing cloud and data technologies to train and deploy models at scale and communicating findings clearly to teammates and business partners.

Location: Geneva, Switzerland

Company

hirify.global brands power global travel for everyone, everywhere.

What you will do

• Create state-of-the-art machine learning models to solve complex business problems and improve decision-making across our travel platform
• Utilize cloud and data technologies to train and deploy models at scale
• Support key business initiatives through data-driven insights
• Collaborate with analytics, market management, product, and technology teams
• Forecast demand, suggest prices and deals, provide automated conversational AI, and offer guided recommendations for hotels
• Communicate findings and implications clearly to teammates and business partners

Requirements

• MSc or PhD in a quantitative discipline (e.g., Machine Learning, Computer Science, Statistics, Applied Mathematics/Physics); or equivalent related professional experience
• Hands-on experience applying ML techniques to real-world problems
• Proficiency in Python with strong coding practices and performance optimization
• Solid SQL skills for data extraction, transformation, and loading
• Experience with distributed data environments (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS)
• Ability to frame business problems as data science challenges and prototype effective solutions

Nice to have

• Previous experience in a Data Scientist, Machine Learning Scientist, or similar role
• Experience with GenAI applications (e.g. prompt engineering, RAG, AgenticAI)
• Experience with Causal Inference methods (e.g., propensity scoring, instrumental variables)
• Experience with Databricks
• Strong collaboration skills to work effectively with business partners, program management, and engineering teams

Culture & Benefits

• Full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model, and career development resources
• Open culture where everyone belongs and differences are celebrated
• Named as a Best Place to Work on Glassdoor in 2024
• Recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others