This role is in the media analytics team that sits within the growth marketing department in the Marketing business unit. The team measures, reports on and optimises the performance of digital marketing campaigns running on social and video platforms. For example, Meta (Facebook+Instagram), Tiktok, Criteo, Youtube, Snapchat, Pinterest.
Key Responsibilities:
- Translate specific business problems into ML challenges and develop a targeted research plan to identify the best approach within the constraints of the production environment.
- Develop the strategy for machine intelligence on a specific product by designing innovative ML models, algorithms, and approaches that deliver both short-term commercial impact and longer-term differentiated business value and customer experiences.
- Define and build proof-of-concepts to test new ideas and demonstrate their potential value to relevant stakeholders.
- Drive the end-to-end execution of the ML development process on specific products, from understanding product requirements, data discovery, model development and evaluation, to implementation of a full production pipeline for both batch- and stream-based deployment.
- Develop production-grade ML code for models, features, and pipelines, accounting for scalability, latency, realtime requirements, monitoring and retraining.
- Build readable and reusable code, using the right technologies and coding methodologies applying knowledge of business area tools and product needs.
- Maintain a highly cross-disciplinary perspective, solving issues by applying approaches and methods from across a variety of ML disciplines and related fields.
- Support others through evidence and clear communication, explaining advanced technical concepts in simpler terms.
- Continuously evolve your craft by keeping up to date with the latest developments in ML and related technologies and upskilling on these, as needed.
- Responsible for data management related Data Governance processes as defined in the Data Governance Framework (E.g. monitoring of data quality, management of data lineage, and maintenance of logical data model).
Requirements of special knowledge/skills:
- Subject matter expertise in one or more areas of ML (e.g. Recommender Systems, Deep Learning, Forecasting, Natural Language Processing, Computer Vision)
- Ability to define a machine intelligence strategy on a specific product by identifying short-term development steps that create immediate business value and build upon each other to create longer-term differentiation
- Ability to design an applied research plan from scratch as evidenced by peer-review publication or similar track record
- Ability to execute end-to-end research and development plans and generating impact through large-scale machine learning model development.
- Relevant work or academic experience (MSc + 3 years of working experience, or PhD), involved in the development and application of Machine Learning.
- Strong working knowledge of big data technologies
- Strong working knowledge of Python, Hadoop, SQL, R, Spark or similar technologies.
- Excellent English communication skills, both written and verbal.
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:
Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave
Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country)
A beautiful sustainable , that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office*
Commuting allowance and bike reimbursement scheme
Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers
Free access to online learning platforms, development and mentorship programs
Global Employee Assistance Program, free Headspace membership
Application Process:
Let’s go places together:
The interview process entails: an online coding challenge, a coding interview, a system design interview, and a final behavioral interview
This role does not come with relocation assistance.
Pre-Employment Screening
If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.
