Data Scientist II - Smart Benefits

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 Insights”, a team of six data professionals based in Amsterdam. The team’s mission is to reliably measure and report performance for Booking-sponsored benefit programs and deliver insights for decision making related to these programs. “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! The role: As Data Scientist you are responsible for safeguarding & improving high quality decision making for Booking.com’s largest discounting program, which is a key driver for Accommodation growth. You’ll contribute to the programs’ reliable performance measurement and financial reporting; deliver actionable insight for Product to steer the program and closely collaborate with Product, Engineering and Machine Learning in increasing the programs’ efficiency. 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. Develop and improve the experimentation framework to ensure high quality decision making. Monitor performance measurement, maintain and develop data pipelines and dashboards. 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. Discover trends, patterns, etc. in product related metrics to support stakeholders in decision making. Designing and interpreting quantitative experiments to objectively guide key business decision making. Responsible for collaborating with peers in related crafts (i.e. (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 Strong 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 team members and other 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: Knowledgeable about sequential testing/always valid p-values Good understanding of machine learning concepts Experience building libraries/modules in python 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) Flexibility to accommodate change and thrive in ambiguity. 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. Application Process: Let’s go places together: How we Hire 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.