Senior Data Scientist - Experimentation Team

Role Description

At Booking.com, data drives our decisions. As a Senior Data Scientist in the Experimentation Science Team, you will focus on scalable solutions to the company’s most persistent challenges in decision making. You will provide support to experimenters and business leaders across the company, investigate problems, and define clear solutions and requirements for their implementation. You will build proofs of concept and prototypes, and work closely with the engineering teams to support our product vision. The ability to write high-quality, reproducible code, and dig into technical product details for feasible and robust solutions is crucial to make your work impactful in the Experimentation Tool, enabling solid decision-making adoptable by a wide range of experimenters and leadership.

Key Responsibilities

Define the strategy and vision for generating impact in one or more Data Science solutions by driving it from ideation to prototyping to full productionisation.
Proactively identify and autonomously prioritize impactful strategic business problems, translating them into data stories and solving them effectively by applying suitable statistical data analysis and modeling methods.
Leverage input from product stakeholders to determine the right technical solutions to deliver customer value.
Drive key projects within the scope of your team to deliver work that informs business decisions across multiple products/business topics in parallel.
Design and interpret quantitative experiments to objectively drive long-term strategic business decision-making.
Identify and manage a broad range of stakeholders, from operational to senior managerial roles.
Explore and modify existing internal and external Data Science approaches, making these solutions reusable by designing for easy adoption and proactively educating and upskilling peers.
Incorporate scalability, reproducibility, and long-term orientation in your work.
Act as a force multiplier for peers by actively helping them with their craft through coaching, mentoring, and setting a good example.
Contribute significantly to the community by thinking of and implementing ways to make other data professionals more effective.
Collaborate with peers in related crafts (e.g., Data Engineering) on all projects owned by your team.
Ensure quality of your own work by validating it through peer review.
Influence business decisions within your wider area.

Qualifications and Requirements

A minimum of 8 years of professional experience as a Data Scientist, preferably in software, product, or e-commerce environments.
Fluent in PySpark and general Python.
Strong working knowledge of statistical and hypothesis testing.
Experience working closely with product teams.
Willingness to dig deep into problems and behind-the-scenes data to support troubleshooting/bug fixing.
Solution-oriented and result-driven.
Excellent English communication skills, both written and verbal.
Achieve impacts as a team player and maintain solid relationships with technical and non-technical stakeholders.

Additional Skills

Knowledgeable about statistical properties of metrics and ability to scalably test them.
Causal inference knowledge beyond A/B testing.
Experience building libraries/modules in Python.
Familiarity with APIs.
Good understanding of fundamental machine learning concepts.
Strong knowledge of reporting/visualization techniques (e.g., Tableau, Graphite, Power BI).

Benefits & Perks

Annual paid time off and generous paid leave scheme including parental leave.
Hybrid working including flexible working arrangements.
A beautiful sustainable HQ Campus in Amsterdam.
Commuting allowance and bike reimbursement scheme.
Discounts & Wallet credits to spend on our products.
Free access to online learning platforms.
Global Employee Assistance Program.

Diversity, Equity, and Inclusion

Diversity, Equity, and Inclusion (DEI) have been a core part of our company culture since day one. We ensure that individuals with disabilities are provided reasonable adjustments to participate in the interview process.

Application Process

The interview process for this role entails a total of 3 interviews. Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer.