Role Description:
You'll be part of a wider team of Data Scientists, Machine Learning Scientists, and Data Analysts, who cover a wide spectrum of topics within the Trips area. Our recent work revolves around Ranking, Pricing and Recommendation Models. At the same time you will be embedded in a product development team, working side-by-side with Product and Engineering, to create the optimal experience for our customers.
Key Job Responsibilities and Duties:
- Translate broad business problems into ML/AI challenges. Develop the approach to solving them by designing innovative ML/AI models, algorithms, and approaches that deliver both short-term commercial impact and longer-term differentiated business value and customer experiences.
- Drive the end-to-end execution of the ML/AI development process on products, from understanding product requirements and constraints of the production environment, data discovery, proof-of-concept demonstrations, model development and evaluation, to implementation of a full production pipeline, and their monitoring.
- Develop production-grade machine learning code, from models to features and pipelines, allowing for scalability, realtime, monitoring and retraining.
- Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of ML/AI subject areas and related fields.
- Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies, introducing them to the machine learning community and promoting their application in areas where they can generate impact.
- Actively contribute to Machine Learning at Booking.com through training, exploration of new technologies, interviewing, onboarding and mentoring colleagues. Champion improvements, scaling and extending machine learning tooling and infrastructure, collaborating with central teams.
Role Qualifications and Requirements:
- Strong relevant industry experience involved in the development and application of Machine Learning in a commercial environment
- Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Mathematics, Artificial Intelligence, Physics, etc).
- Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.
- Experience collaborating with different teams and crafts (e.g. Developers, UX specialists, Product Managers, etc).
- Ability to break down complex problems into smaller iterative tasks
- Strong working knowledge of Python, Hadoop, SQL, Spark or similar data technologies.
- Excellent English communication skills, both written and verbal.
Benefits & Perks:
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. Our Total Rewards are aimed to make it easier for you to experience all that life has to offer—all the messy, beautiful, and joyful bits—on your terms. So you can focus on what really matters. We offer competitive compensation as well as thoughtful, valuable, and even fun benefits which include:
- Health, life, and disability insurance*
- Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
- Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
- Industry leading product discounts for yourself, friends, and family, including automatic Genius Level 3 status and quarterly Booking.com wallet credit
- Free access to online learning platforms, development and mentorship programs, and a complimentary Headspace membership
- On-site meals, coffee, and snacks, including healthy and vegan options, daily*
*Please note that while our philosophy is the same in every location, benefits may differ by office/country. More details on the benefits and perks offered by the company can be .
Our can be found here.
Application Process:
Learn more here about what to expect in our interview process:
