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Booking Data Scientist II - Trips Cars 
United Kingdom, England, Manchester 
154664516

09.03.2025

Role Overview:

As a Data Scientist II, you will be working within the Cars Data Science & Analytics team and you will be involved in various stages of data science solutions, from ideation to implementation. You will be working independently on data consumption and preparation, effectively solving business problems through statistical data analysis and modeling. This role involves interpreting experimental data to guide business decisions, uncovering new opportunities, and engaging with stakeholders. As a Data Scientist II you are expected to continuously learn, expand your technical competencies, engage with peers, and understand the larger data ecosystem and the goals for Cars. You are also responsible for ensuring the quality of your work through peer review.

Role description:

  • The role will primarily involve supporting the Cars commercial team through innovative ranking & promotional insights & recommendations.

  • Partnering with commercial, data engineering and product teams to develop new methods for understanding how our promotional activities (such as Genius) impact our Cars business.

  • Understand the vision and strategy of ranking optimisation activities and develop and own data science roadmaps in order to execute.

  • Develop knowledge and awareness of Cars economics in order to drive and influence the product roadmap across both ranking & promotions.

  • Look outside of the immediate Cars scope to consider both the Ground Transport and wider Connected Trip perspectives, determining & optimising for long term metrics.

  • You will work closely with the product & engineering, data management & data engineering teams to support our product vision. Strong skills in stakeholder management and business acumen will ensure your work is impactful and can influence the business decisions of your stakeholders.

Key Job Responsibilities and Duties

  • Responsible for providing data science support to our product stakeholders, to enable them to make data-driven decisions

  • Responsible for designing and interpreting quantitative experiments to objectively guide key business decision making

  • Responsible for designing & delivering entire data science solutions working closely with product and research teams

  • Continuously review product engagement and performance, generate insights and provide hypotheses for newer experimentation to drive product growth

  • Implement learnings in replicating product success to other areas within Intent Discovery and Platform

Role Qualifications and Requirements

  • 3+ years of experience working in Data Science roles; advanced degree preferred (Statistics, Econometrics, Applied Mathematics, or similar) (mandatory)

  • Strong background in ranking / economics

  • Strong working knowledge of statistics (mandatory)

    • Descriptive Statistics

      • Standard Deviation, Skewness etc.

    • Inferential Statistics

      • Hypothesis testing

      • Confidence intervals, p-values, Correlation vs Causation

      • Type I and Type II errors

  • Strong working knowledge of Experimentation (mandatory)

    • A/B testing

    • Power analysis & sample size determination

    • Familiarity with biases in experimentation.

  • Strong working knowledge of SQL and at least one scripting language (Python or R) (mandatory)

  • Analytical, strategic, humble, entrepreneurial, and data-driven (mandatory)

  • Comfortable interacting with stakeholders throughout the global organization (mandatory)

  • Strong communication and presentation skills (mandatory)

  • Very strong commercial acumen (mandatory)

  • Flexibility to accommodate change and thrive in ambiguity (mandatory)

  • Familiarity with optimisation techniques.

Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave

  • Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)

  • Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

Application Process:

  • Let’s go places together:

  • Your recruiter will be in touch to discuss the hiring process with you and interview stages to expect

  • This role does not come with relocation assistance.