Machine Learning Scientist - Safety

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code, or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we make it easier for everyone to experience the world.

The Partner Fraud team is looking for data savvy professionals to join our team of Machine Learning Scientists and Engineers. You will have the opportunity to build innovative large scale Machine Learning Models that detect and prevent fraud in real time. 

As a Machine Learning Scientist, you’ll have the chance to work on exciting products and play an integral role in bringing them to the next level! You’ll have the chance to collaborate closely with other scientists, engineers, product managers, fraud investigators and various business stakeholders and take full ownership of your work - from the initial idea generation phase to the implementation of the final product.

You will thrive at Booking.com if you are result-focused, innovative, and with a solid quantitative background, but most of all by understanding our complex business model and the logic behind it.

About Partner Fraud Team

The Partner Fraud area provides solutions for fraud prevention and reducing impact on guests due to fraud while keeping it easy for genuine properties to onboard quickly & smoothly. The team also looks after the prevention and detection of other types of supply side fraud and abuse such as real accommodation partners willingly overcharging guests.

B.RESPONSIBLE

You will primarily develop ML Models, Feature developments in line with organisational objectives and direction. You will be responsible for timely delivery of new features and with a good quality. 

• Work in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into products through machine learning (incl. understanding product requirements, data discovery, model development and evaluation, to implementation of a full production pipeline for both batch and stream-based deployment).
• Use the model’s output to deliver both short-term commercial impact and longer-term differentiated business value and customer experience.
• Define and build proof-of-concepts to test new ideas and demonstrate their potential value to relevant stakeholders. 
• Document and share the findings, and identify when these technologies can be generalised into reusable frameworks.
• Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies, and upskilling on these as needed.
• Actively contribute to Machine Learning at Booking.com through training, exploration of new technologies, interviewing, onboarding and mentoring colleagues.

B.SKILLED

• At least 3 years of relevant work experience.
• Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
• Prior experience with Feature Engineering
• Solid understanding of fundamental machine learning concepts. 
• Fluency in at least one programming language, with a strong preference for Python.
• Strong working knowledge of Hadoop, Spark and SQL.
• Experience with Tensorflow is a plus
• Experience with putting machine learning models in production.
• Excellent English communication skills, both written and verbal; the ability to convey your message to team members and other stakeholders.

B.Offered

• Living and working in Amsterdam, one of the most cosmopolitan cities in Europe
• Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travellers worldwide
• Working in a fast-paced and performance driven culture
• Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit
• Promote and drive impactful and innovative engineering solutions
• Technical, behavioural and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation
• Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.