Job Specifications
Data Scientist III - Experimentation Science (Statistical Modelling)
Introduction to team
As a Data Scientist III on our Experimentation Science team, you will play a critical role in shaping the statistical methodologies that underpin Expedia Group’s experimentation platform. Your work will ensure that every feature change on our website (from button colours to booking flow) is rigorously tested to maximise business impact. This role blends research and practical application, requiring you to design, evaluate, and improve hypothesis testing frameworks and experimentation techniques. You will collaborate closely with platform engineers to implement scalable solutions, provide expert guidance to stakeholders, and drive innovation through cutting-edge statistical research. This position offers a unique opportunity to apply deep statistical expertise in a dynamic environment where your contributions directly influence product decisions and customer experiences worldwide.
In this role, you will:
Lead the development and validation of advanced statistical methodologies to support Expedia Group’s experimentation platform, ensuring robust and reliable A/B testing across the website’s features and user experiences
Collaborate closely with the experimentation platform team to design, implement, and scale new testing frameworks and tools that enhance the platform’s capabilities and reporting accuracy
Provide expert guidance and training to cross-functional teams on experimental design, hypothesis testing, and statistical best practices to optimise test duration, sample size, and overall experiment quality
Conduct original research to explore and develop innovative approaches for experimentation challenges, including designing proof-of-concept studies and integrating new methodologies into production workflows
Analyse complex experimental data, build simulation frameworks to quantify error rates, and communicate findings clearly to both technical and non-technical stakeholders to inform business decisions
What we are looking for:
Deep expertise in statistical methodologies, particularly hypothesis testing, design of experiments, and interpretation of p-values and confidence intervals, with the ability to apply these concepts rigorously in an experimentation context
Strong analytical mindset with the capability to structure complex business problems and translate them into statistically sound experimental designs and solutions
Proficiency in programming with experience in Python, PySpark, R, or similar languages, sufficient to implement and test statistical models and simulations, with an emphasis on correctness over advanced coding skills
Demonstrated ability to conduct independent research, quickly learn new statistical techniques, and develop proof-of-concept models that can be scaled and integrated into production experimentation platforms
Excellent communication skills to clearly explain complex statistical concepts and experimental results to both technical and non-technical stakeholders, ensuring alignment and understanding across teams
Minimum qualifications:
A bachelor’s degree or higher in Mathematics, Statistics, or a closely related quantitative field, providing a strong foundation in statistical theory and experimental design
Proven expertise in hypothesis testing, design of experiments, and statistical methodologies critical to experimentation science
Solid programming skills in at least one language such as Python, R, or PySpark, with the ability to write clean, maintainable code to support research and implementation
Experience applying statistical rigour to real-world business problems, with the ability to independently lead and deploy methodologies at scale
Strong analytical mindset with the capacity to research, evaluate, and implement new statistical approaches and simulation frameworks
Excellent communication skills to clearly explain complex statistical concepts and results to both technical and non-technical stakeholders
Ability to work collaboratively within a small, focused team and liaise effectively with platform engineers and business partners
Prior experience in experimentation platforms or A/B testing environments is highly desirable
Autonomy and accountability to serve as a point of contact for statistical methodologies within the team.
About the Company
At Expedia Group (NASDAQ: EXPE), we believe travel is a force for good - it opens minds, builds connections, and bridges divides. We create transformative tech that enables unforgettable experiences for all travelers, everywhere. Our trusted family of brands are known and loved by millions, and we power more trips than anyone else. To learn more about our vision of a more open world through travel, visit www.expediagroup.com. We're committed to providing an inclusive and accessible recruiting experience for candidates with d...
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