Key Job Responsibilities and Duties
Important aspects of the job include:
People Leadership
Foster a great culture that innovates, work together as a team, partner with other Booking.com com teams and roles and celebrates unified success
Technology, Craft & Delivery
Monitor product health, performance and business impact and act accordingly when requirements are not met.
Adhere to the default principles for Architecture, quality and non-functional requirements
Drive a culture of ownership and technical excellence, including reactive work such as incident escalations
Architecture & Product Strategy
Thought partner for Product to define, shape and deliver the roadmap
Build new products, processes and operational plans
Role Qualifications and Requirements
MSc or Ph.D in a quantitative field (e.g. Computer Science, Mathematics, Artificial Intelligence, Physics, etc.)
At least 5 years of industry experience and at least 2 years managing ML scientists and engineers. Involved in the application of Machine Learning to business problems
Advanced knowledge and experience in areas like e.g. Recommender Systems, Online Machine Learning, Information Retrieval, Multi Armed Bandits, Causal Inference and Scaling ML models serving and training
Experience designing and executing end-to-end research and development plans and generating impact through large-scale machine learning model development. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like
Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development
Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.)
Required working knowledge of Python and SQL. Knowledge of Kafka, Hadoop or Spark are an asset
Excellent English communication skills, both written and verbal
Successful experience driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels
Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators
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
Free access to online learning platforms, development and mentorship programs
Global Employee Assistance Program, free Headspace membership
Career Development Opportunities
Unlimited access to online learning platforms: Udemy, Coursera, LinkedIn learning, O'reilly
Application Process
The interview process will entail 2 technical interviews and 1 behavioural interview.
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.
