Data Scientist II

Booking.com; Manchester; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading travel company in Manchester is seeking a Data Scientist II to join their Rides Data Science and Analytics team. This role focuses on delivering data-driven solutions and collaborating with various teams to enhance decision-making processes. The ideal candidate will have a strong foundation in data analysis, excellent communication skills, and the ability to work autonomously.

Benefits

Annual paid time off

Hybrid working arrangements

Industry leading product discounts

Qualifications

• Proven experience working in Data Science roles.
• Strong background in causal inference and statistical methods.
• Excellent communication and presentation skills.

Responsibilities

• Leading the design and delivery of Data Science solutions.
• Designing and interpreting quantitative experiments.
• Developing key metrics for product performance.

Skills

Statistical analysis

Data mining

SQL

Python

Analytical thinking

Communication

Education

Advanced degree in Statistics, Econometrics, or Applied Mathematics

Tools

Pyspark

Version control systems

Job description

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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.

About The Rides Business Unit

From our hubs in Manchester, London & Amsterdam our Trips Business Unit helps people get where they want to go anywhere in the world. Whether customers want the freedom of a car, the convenience of a flight, the ease of a taxi, the economy of public transport or an endless variety of exciting activities, we make it all possible. Our team is passionate about helping people travel. They see challenges as opportunities. And they’re always ready for change.

Our Rides business, which offers both Taxis and Public Transport, plays a key role in driving the Booking.com Connected Trip vision. Our mission in Rides is for every traveller, the easiest and most convenient way to travel for any ride on any trip, a great experience every time, with airport pickups at our heart.

Role Overview:

As a Data Scientist II, you will be working within the Rides Data Science & Analytics team and you will own 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, uncover new opportunities, and put insights into actions . 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 Rides. You are also responsible for ensuring the quality of your work through peer review.

The successful candidate will collaborate with Rides product, engineering, and commercial teams, helping steer decision making through relevant and actionable data insights & innovative new ways of looking at our business. You will be closely collaborating with other data scientists, analysts & machine learning scientists to develop strategic insights, uncover growth opportunities, and identify key drivers of booking trends. In particular this candidate will assume ownership of several key aspects of the Rides product including experimentation, pricing, promotion models, partner selection etc.

Join us to solve critical business challenges and help travellers plan and book their perfect trip with ease and confidence.

Key Job Responsibilities and Duties:

• Leading the design and delivery of entire Data Science solutions based on business requirements, bringing them from ideation to implementation independently.
• Working autonomously to consume and prepare data for analysis, translating business challenges into actionable data stories, and applying appropriate statistical methods to solve them.
• Designing and interpreting quantitative experiments to objectively guide key business decision making.
• Owning the definition and development of key product and business metrics, such as ROI and customer lifetime value (CLTV).
• Developing expertise in Rides economics and understanding the strategy behind pricing, ranking, and promotional activities. Create data science roadmaps to support these strategies.
• Continuously monitor product engagement and performance, generate insights, and propose iterative experimentation hypotheses to drive product growth.
• Responsible for acting as a force multiplier for junior peers in the team by actively helping them with their craft through means of coaching, mentoring and setting a good example.
  
  
  

Role Qualifications and Requirements;

• Proven experience working in Data Science roles; advanced degree preferred (Statistics, Econometrics, Applied Mathematics, or similar)(Mandatory)
• Demonstrated ability to solve real-world problems using data mining techniques with statistical rigor, and to translate business challenges into data problems.
• Strong technical skills in data analysis, statistics, and programming with SQL and Python/PySpark; hands-on experience with version control systems (Mandatory)
• Strong background in causal inference/analysis including experimentation (e.g. A/B testing) and other advanced statistical methods. (Mandatory)
• Clear understanding of the capabilities and limitations of various data analysis and modeling techniques.
• Proven ability to work collaboratively, drive impact as a team player, and build strong relationships with both technical and non-technical stakeholders.
• Excellent communication and presentation skills, with strong business acumen.
• Analytical, strategic thinker with an entrepreneurial mindset, humble, curious, and data-driven.
  
  
  

The following skills are assets for this role:

• Hands-on experience in pricing, promotion optimisation, ranking domains
• Working knowledge of data management (engineering, data pipelines, workflows) with Pyspark / Snowflake
• Experience working cross-functionally with developers, UX designers, product managers, and other stakeholders to build data science solutions.
• Applied knowledge of statistical methods (e.g. GLM, Inference), Statistical/Machine Learning (e.g. Dimension Reduction, Clustering, Regularisation, Bagged/Boosted methods), Time Series, etc
• Applied knowledge of developing ML and GenerativeAI models at scale.
  
  
  

Benefits & Perks - Global Impact, Personal Relevance:

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:

• 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
  
  
  

Diversity, Equity and Inclusion (DEI) 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 build an outstanding 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:

Your recruiter will confirm this with you, the process for this role is virtual via zoom

• 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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research and Analyst

• Industries

  Software Development

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