Data Scientist (Pricing)

TL;DR

Data Scientist (Pricing): Designing and optimizing algorithms for hotel deal discovery and price prediction with an accent on experimental design, machine learning, and optimization. Focus on building and deploying production-ready ML models and delivering strategic insights at scale.

Location: Düsseldorf, Germany. This is a hybrid role, allowing up to 2 work-from-home days weekly, with an option to work remotely from a different location within Germany or selected countries abroad for up to 20 days per year.

Company

hirify.global is a leading metasearch engine focused on enabling millions of travelers to compare hotel prices from hundreds of booking sites efficiently.

What you will do

• Design analytical frameworks and models that inform pricing strategy and product decisions through data-driven insights.
• Build and deploy production-ready ML models for price prediction and caching optimization that serve millions of users in real-time.
• Establish experimentation standards by designing A/B tests, defining evaluation metrics, and developing simulation techniques.
• Translate complex business problems into technical solutions through cross-functional collaboration with product and engineering teams.
• Communicate findings effectively to stakeholders at all levels, influencing product strategy through compelling data storytelling.
• Guide less experienced data scientists through quality reviews, knowledge sharing, and technical mentorship.

Requirements

• 5+ years of industry experience delivering impactful analyses and production ML models in data science or applied science roles.
• Advanced degree (MSc or PhD) in computer science, statistics, engineering, mathematics, economics, or related quantitative field.
• Proven expertise building, deploying, and maintaining machine learning models in production environments with monitoring and iteration.
• Strong foundation in experimental design, statistical testing, and A/B testing methodologies applied in production settings.
• Practical experience with time series, optimization problems, pricing algorithms, recommendation systems, or forecasting techniques.
• Expert-level proficiency in Python or R (pandas, scikit-learn), SQL, and cloud platforms (e.g., GCP) with big data technologies.

Nice to have

• Experience in dynamic pricing, yield management, or revenue optimization within travel, e-commerce, or marketplace industries.
• Background in reinforcement learning, bandits, or sequential decision-making applied to real-world business problems.
• Production experience with real-time systems, high-throughput ML serving, or caching strategies at scale.

Culture & Benefits

• Personalized coaching through Nilo, workshops, educational meetups, conferences, free online learning courses, and access to a campus library.
• Visa support and relocation package, interest-free newcomer loan, and free language classes for those moving to Germany.
• Self-determined vacation (minimum of 25 days), flexible working hours, and up to 2 work-from-home days weekly.
• Ability to work remotely from a different location within Germany or selected countries abroad for up to 20 days per year.
• Daily canteen budget, complimentary snacks and drinks, on-site gym, sports classes, Urban Sports Club membership, ergonomic desks, and focused work areas.

Hiring process

• Video Introduction
• Introduction Call
• Case Study
• Technical Interview
• Final Interview with Stakeholders and Lead