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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist (Remote). This role plays a critical part in designing and optimizing algorithms that enhance how millions of travelers find hotel deals every day. By leveraging cutting-edge machine learning techniques and analyzing large data sets, you will directly impact the travel experience for users globally. As part of a newly formed team, you'll collaborate closely with cross-functional teams to drive innovation in pricing strategies and help shape the future of a data-driven marketplace. This is an exciting opportunity to make substantial contributions while working in a dynamic and flexible remote environment.
Accountabilities
- Design analytical frameworks and models that inform pricing strategy and product decisions through data-driven insights and simulations
- 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 to measure performance
- 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
Benefits
- Personalized coaching, workshops, educational meetups, conferences, and access to a fully-equipped campus library for your development
- Visa support, relocation package, interest-free newcomer loan, and free language classes for those relocating to join the team
- Flexible vacation policies with a minimum of 25 days off, flexible working hours, and the possibility to work remotely from various locations
- Daily canteen budget for shared meals with colleagues, complimentary snacks and drinks, and access to fitness options including an on-site gym
- Ergonomic desks and dedicated workspaces to enhance your work environment
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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