About the Team:
We are a key part of the Pricing Foundations team, responsible for optimizing and measuring the dynamics of our two-sided marketplace, impacting both our partners and customers. Our mission is to ensure high-quality supply by carefully analyzing the effects of our pricing products on these stakeholders. Through comprehensive performance measurement, we have become the first OTA (Online Travel Agency) capable of providing partners with personalized insights into how specific pricing products impact their business. Our work involves building a sophisticated data service that manages this process end-to-end-from running experiments and developing machine learning models to estimating the impact on each partner. This data-driven approach ensures that our partners' benefits are closely aligned with the interests of our customers. Our data team has a deep expertise in A/B testing, and strives to measure the impact of incentive offerings, and has strong track record in developing and maintaining data products and mature services. Our team is made up of Data Scientists and Analysts, working closely with engineering and machine learning teams within the track.
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Key Responsibilities
As a Data Scientist Analytics Engineer, you will be in charge of the development, performance, quality, and scaling of our data and metrics generating pipelines. You will work closely with a team of Data Scientists and Analysts as well as product.
- Develop scalable, flexible, and high-performance datasets and metrics by building data pipelines that process large amounts of data and power business critical decision making.
- Partner with analysts, data scientists and product stakeholders on the data needs for metrics, dashboards, and analytic capabilities that will have the greatest impact on business decisions.
- Promote and drive impactful and innovative engineering solutions through your own work as well as acting as an intermediary for problems and connecting the work of software engineers to analytics stakeholders.
- End-to-end ownership of data and metrics quality in your team's datasets and pipelines.
- Abstract patterns across dashboards and analyses in order to simplify and reuse code and data across the workflows involved. Optimize the analytics workflows to achieve scale and reliability.
- Help drive the modernization of Booking's analytics systems, partnering with the data platform teams to leverage and influence the latest technologies. Be a force for keeping data and systems current with the latest technologies.
Years of relevant Job Knowledge.Years of relevant Job Knowledge
- Broad Job Knowledge (3 - 5 years)
Requirements of special knowledge/skills
- Professional experience in the broad field of Data Engineering and hold a Master's degree in a quantitative field.
- Experience working directly in Analytics or Data Science, or have collaborated on E2E projects with colleagues specializing in these topics before
- Working knowledge of the statistics behind A/B testing and basic modeling techniques such as linear regression.
- Experience designing systems E2E, going from problem statements via ideation to data and metrics in production.
- Proven knowledge of Python and Spark
- Knowledge of Hadoop, Hive, Oozie, Kafka, Airflow.
- Experience with Data Warehousing and ETL/ELT pipelines at scale
- Excellent communication skills with both technical and product stakeholders - verbal and written
- Experience solving real problems using data mining techniques and with statistical rigor
- Strong skills in storytelling with data
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
#ThinkInclusion: Diversity, Equity and Inclusion at Booking.comDiversity, Equity and Inclusion (DEI) 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.
We will ensure that individuals with disabilities are provided reasonable adjustments to participate in the interview process. Please contact us to request adjustments.
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.