Machine Learning Scientist II (Traveltech)

TL;DR

Machine Learning Scientist II (Data Science/ML): Building end-to-end ML solutions for ranking, recommendation engines, and pricing optimization with an accent on revenue optimization and dynamic pricing. Focus on developing ML models for demand forecasting, conducting A/B testing, and deploying scalable models into production.

Location: Geneva, Switzerland (Hybrid/Flexible work model)

Company

hirify.global is a global travel technology leader providing innovative distribution solutions and cutting-edge tech to travel partners worldwide.

What you will do

• Develop and implement ML models for dynamic pricing, demand forecasting, and revenue optimization.
• Collaborate on end-to-end solutions, from data preprocessing to production deployment.
• Participate in A/B testing and experiment design to continuously improve algorithms.
• Analyze complex datasets to derive actionable insights for business stakeholders.
• Translate business requirements into technical solutions through cross-functional collaboration.
• Communicate methodologies and results to both technical and non-technical audiences.

Requirements

• Ph.D. (preferred) or Master's degree in Computer Science, ML, Mathematics, Statistics, or a related field.
• Proficiency in Python, PySpark, and ML libraries (e.g., scikit-learn, TensorFlow, Keras).
• Familiarity with big data technologies (Hadoop, Spark) and cloud platforms (AWS, GCP).
• Solid understanding of common machine learning algorithms, statistics, and probability theory.
• Strong problem-solving and communication skills.

Culture & Benefits

• Full benefits package including exciting travel perks and generous time-off.
• Flexible work model with access to modern office spaces.
• Inclusive community that celebrates diversity and fosters an open culture.
• Support for career development and parental leave.