Find The Best Job Vacancies in Various industry sectors 44131+ Job Vacancy

Tripsdata TripsCars

At Booking.com we’re working to seamlessly connect every aspect of travel, and the TBU team is one of the cornerstones of our connected trip vision. We’re dedicated to helping travelers uncover the best transport options available to them around the world. To do this we need to offer the broadest selection of bookable transport options, and smoothly match the right options to the right person at the right time. Our goal is to offer travelers the widest choice and the best customer experience no matter what transport option they choose.

Our Cars business is a thriving component of booking.com and one of the core pillars of the Connected Trip. We aim to provide the best quality car rental product to every customer, by providing competitive prices, relevant vehicles and a frictionless customer experience.

We are looking for either a Mid-level or Senior Machine Learning Scientist to join our Cars Vertical. As a successful candidate, you will working closely with the Search Product Teams. We will iteratively optimize our product to enable our users to find the best Cars at the most relevant location using a combination of ML techniques, engineering, online experimentation, and agile product development. You will work across the full ML lifecycle and bring your models to production and make sure they help our users, communicating findings and contributing knowledge to the insights and data community at Booking.

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.

As an MLS you are a subject-matter expert in the theory behind relevant areas of machine intelligence, such as recommendation systems, ranking, multi-arm bandits, uplift modeling, or classification/regression techniques, and in their implementation as end-to-end products that generate direct business impact. You define the strategy and vision for how to generate outsized impact through automated intelligence for a product by driving a research agenda and development plan from conceptualisation to prototyping to full production.

B.Responsible

• 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.

B.Skilled

• 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.

B.Offered

• Contributing to a high scale, complex, world-class product and seeing real-time impact of your work on millions of travelers worldwide
• Working in a fast-paced, pragmatic and performance driven culture
• Opportunity to apply your technical expertise, leadership capabilities and entrepreneurial spirit
• Promote and drive impactful and innovative engineering solutions
• Technical, behavioral 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
• Hybrid working

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, color, 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.