Data Scientist, Booking.com
Revenue Forecast of the Future, Finance
Leading travel accommodation and experiences marketplace
Job no longer available
Leading travel accommodation and experiences marketplace
1001+ employees
Job no longer available
1001+ employees
Company mission
To shape the future of travel through cutting edge technology, to make it easier for everyone to enjoy amazing experiences wherever they go.
Role
Who you are
- Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field
- 3+ years of relevant work experience, involved with the application of Machine Learning algorithms & statistical forecasting to business problems in a commercial environment
- Strong skills in coding and problem solving. Proficiency in at least one programming language; preferably Python and strong command of SQL is strictly required. Knowledge of Snowflake is a plus
- Proven experience building and deploying forecasting models (time series, regression) in a financial or business analytics context
- Experience running Machine Learning systems in production is a must, with knowledge on how to generate predictions for ML frameworks with high throughput
- Solid understanding of cloud platforms, containerization, and version control (e.g., Docker, Git)
- Demonstrable experience of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization
- Proficiency in Airflow & AWS SageMaker for end-to-end ML workflows is a plus
- Familiarity with additional AWS services (e.g., Lambda, ECS, CloudWatch) and infrastructure-as-code tools is a plus
- Willingness to learn and understand complex and multidisciplinary business problems and concepts related to booking.com business operations especially in finance
- You have a ‘can do’ attitude and you act proactively and not reactively
- Excellent English communication skills, both written and verbal
What the job involves
- The Financial Planning & Analysis team acts as the analytical engine of the finance organization, providing critical insights and recommendations that shape a company’s financial health and strategic direction
- As a Machine Learning Scientist, you will be part of the “Forecast of the Future” program which will be responsible for implementing ML based statistical forecasting models at the core of our financial forecasting & budgeting process, with the aim to make our forecasts more agile, accurate, scenario-based and connected (driver-based and multi-vertical)
- We are seeking an experienced Machine Learning Scientist to join our Financial Planning & Analysis (FP&A) team, focusing on advanced forecasting initiatives. In this role, you will design, develop, deploy, and maintain machine learning solutions—primarily in the areas of time series forecasting and regression modeling—to drive data-driven financial planning and decision-making
- You will collaborate with business stakeholders to identify key features for enhancing forecasting accuracy. You will also be responsible for feature exploration and conducting successful experiments to guide the company toward driver-focused forecasting
- Work in a multi-disciplined, highly skilled team where you will be developing, implementing, and optimizing time series forecasting and regression models for financial planning, budgeting, and scenario analysis
- Collaborate with FP&A analysts, data scientists, and business stakeholders to understand forecasting requirements and translate them into scalable ML solutions
- Leverage AWS SageMaker for model development, training, deployment, and lifecycle management, including use of Data Wrangler, Model Registry and Feature Store
- Monitor model performance, detect model drift, and implement retraining strategies to maintain accuracy and relevance over time
- Conduct data analysis with detailed metrics to improve data quality, do feature exploration, evaluate model’s performance, etc
- Ensure data quality, feature engineering, and preprocessing of large, complex financial datasets
- Drive a culture of quality for all ML practitioners, maintain data security, integrity and quality, and make choices over the right technologies and coding methodologies
- Identify underlying issues and opportunities across the ML development cycle and introduce tools to be used within and outside the team for efficient development and testing
- Continuously evolve your craft, keeping up to date with the latest technologies
- Collaborate with relevant ML teams across the company to improve, scale and extend machine learning tooling and infrastructure
Our take
Booking.com has established itself as a leading digital travel company. The company reaps the benefits of its status in the market and is currently in a stronger position than its up-and-coming competitors such as Expedia, Trivago and Trip.com. Airbnb represents the sharing economy and acts as a disruptive force in this market but still has ways to go to compete with Booking.com.
In recent years, there has been considerable growth in the number of travellers wishing to travel more sustainably. And Booking.com is well positioned to attract these consumers, having introduced a Travel Sustainable badge on their platform which over 100,000 properties have achieved for their sustainability efforts.
The company was originally founded with a core focus on hotels, and the platform now offers more than 31M accommodation listings. It has also expanded into different services, including flights, car rentals, and attractions.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Health insurance
- Free access to Headspace for you and your loved ones
- Global Employee Assistance Program
- Meditation and Breastfeeding rooms at the office
- Booking Cares - 2 days per year to volunteer and learn
- Life insurance
- Disability insurance
- Pension plan
- Annual paid time off
- Parental leave - 22 weeks
- Grandparent leave - 10 days
- Care leave - 10 days
- Bereavement leave - up to 4 weeks
- Anniversary leave
- Working from Home Furniture and Ergonomic Support
- Working from Abroad - up to 20 days per year
- Discounts & Wallet credits to spend on our products
- Upgrade to Booking.com Genius Level 3
- Friends & Family Booking.com discount vouchers
- Free access to online learning platforms
- Development and mentorship programs to support career growth
- Access to trainings and workshops
- Team development opportunities
- Local discount programs
- Game rooms in offices
- On-site meals, coffee and snacks including vegan options
Company HQ
Nieuwmarkt en Lastage, Amsterdam, Netherlands
Leadership
Glenn Fogel
(CEO)Previously Vice President at Morgan Stanley. They joined Booking Holdings in 2000 and have held several high profile and executive positions since. They are currently the President and CEO
Salary benchmarks
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