Machine Learning Scientist II (AI)

Location: Geneva, Switzerland

Company

hirify.global is a global travel company connecting travelers, partners, and advertisers through consumer brands, B2B travel services, and travel advertising.

What you will do

• Develop, evaluate, and improve machine learning models for airline and travel marketplace products.
• Translate ambiguous business problems into measurable objectives, selecting appropriate data, models, and evaluation methods.
• Move machine learning solutions from experimentation into reliable products in partnership with engineers, product managers, scientists, analysts, and Air domain experts.
• Analyze large and complex datasets, identify patterns, and communicate data-driven recommendations to technical and non-technical stakeholders.
• Design experiments, apply causal-inference methods, interpret results, and iterate on models and workflows.
• Integrate and operate AI/ML-enabled solutions that improve traveler and business outcomes.

Requirements

• Bachelor’s degree in Computer Science or a related technical field, or equivalent professional experience.
• 2+ years of relevant professional experience.
• Experience applying machine learning, statistical modeling, or quantitative methods to technical or product problems.
• Strong programming and data analysis skills, including machine learning methods and model evaluation techniques.
• Working knowledge of system design, low-level design, API design, and data modeling for integrating machine learning into products.

Nice to have

• Advanced degree in machine learning, computer science, statistics, mathematics, economics, operations research, engineering, or a related discipline.
• Experience or interest in airlines, travel marketplaces, revenue management, yield management, pricing, or commercial decision science.
• Experience operating machine learning models or data products at scale, including reliability, monitoring, and maintainability.
• Practical experience with controlled experiments, quasi-experimental designs, or treatment-effect estimation.
• Experience with large datasets and distributed computing frameworks such as Apache Spark.

Culture & Benefits

• Supportive and inclusive working environment.
• Flexibility, benefits, and support for career development and effective work.
• Accessible recruiting accommodations are available for candidates with disabilities.