About Us: 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 encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.
The team:
You'll join "Smart Benefits", a track of 12 data professionals based in Amsterdam. The track's mission is to optimize our accommodation discounting product to achieve growth for Booking.com.
"Smart Benefits" is part of the Pricing department that has a thriving data community, which is part of the wider Accommodations Business Unit. This is the largest business unit at Booking.com, so your work is going to impact millions of customers!
Want more jobs like this?
Get Data and Analytics jobs in Amsterdam, Netherlands delivered to your inbox every week.
The role:
We are seeking a Data Scientist to join our ML / Insights team. This role will focus on generating actionable insights and providing tactical guidance to support our product development efforts. The ideal candidate will conduct extensive data exploration, develop and test hypotheses, and suggest product changes based on experimental results. You will collaborate closely with Machine Learning Scientists, Data Scientists and Product teams to enhance our understanding of the product's inner workings, identify key areas of focus on, and improve overall product strategy. This role requires strong statistical inference skills and the ability to translate data insights into practical recommendations as well as solid stakeholder management skills to achieve business impact through the generated recommendations.
Key Job Responsibilities and Duties
- Leading the design and delivery of entire Data Science solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently. E.g.
- Continuous exploration of product data to deliver actionable insights on how/where to develop the product next (product health throughout the funnel, feature exploration, etc.)
- Working autonomously on consuming data, preparing it for data science use, translating business problems to data stories and solving them effectively by applying suitable statistical data analysis and modeling methods. Leverage input from business partners in all of the above to determine the right technical solutions to deliver customer value. E.g.
- Design data collection mechanisms that are needed for product development
- Designing and interpreting quantitative experiments to objectively guide key business decision making.
- Responsible for collaborating with peers in related crafts (i.e. Machine Learning, (Data) Engineering), anticipating data needs to ensure smooth progress of their individual projects.
- Responsible for contributing to the community of their area by supporting community projects aimed at making other data professionals more effective, actively participating in community strengthening activities (i.e. recruitment) and connecting with peers beyond their area.
Role qualifications and requirements
- Experience solving real problems using data mining techniques and with statistical rigor
- Strong skills in translating business problems into data problems
- Strong knowledge of the possibilities and limitations of different types of data analysis and/or data science modelling
- Experience in experimentation, statistical and hypothesis testing
- Strong technical skills regarding data analysis, statistics and programming in python and pyspark
- Working knowledge of data management (engineering, data pipelines, workflows) with pyspark / Snowflake
- Excellent English communication skills, both written and verbal; the ability to clearly convey your message to different stakeholders.
- Achieve impact as a team player, and maintain solid relationships with technical and non-technical stakeholders.
The following skills are assets for this role:
- Strong stakeholder management skills
- Experience in new product development
- Solid understanding of how Machine Learning models work
- Strong knowledge of reporting/visualization techniques (e.g. Tableau, Grafana, Power BI, etc.)
- Close collaboration with product teams (not just PMs, but directly with developers/engineers)
Benefits & Perks: Global Impact, Personal Relevance
- 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 HQ Campus in Amsterdam, 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
Diversity, Equity and Inclusion at Booking.com:
Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.
Take it from our Chief People Officer, Paulo Pisano: "At Booking.com, the diversity of our people doesn't just create a unique workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It's a place where you can make your mark and have a real impact in travel and tech."
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.
Career Development Opportunities:
- Bi-annual performance conversations, company-wide mentoring program, and internal development opportunities
- Unlimited access to online learning platforms: Udemy, Coursera, LinkedIn learning, O'reilly
Application Process:
- Let's go places together: How we Hire
- The interview process for this role entails a total of 3 interviews.
- This role does not come with relocation assistance.
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.
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.