Data Scientist
Expedia Group
- London, England, United Kingdom
- London, England, United Kingdom
Über
Are you passionate about experimental design, causal inference, and bridging the gap between statistical theory and real-world impact? We are looking for a Data Scientist specialising in experimentation science to lead the design and validation of our product experimentation methodologies. This is not a generic data scientist or analyst role.
We are seeking someone who: Has led the design, validation, and scaling of statistical methodologies for controlled experiments (not just “run A/B tests”) Excels at building or adapting frameworks for hypothesis testing, simulation, and error control in noisy, messy, production environments Can clearly explain experiment design, trade-offs, and findings to technical and non-technical stakeholders alike Brings scientific rigour and pragmatic creativity to complex, ambiguous challenges What you will do
Own the experimental methodology:
Design, implement, and validate statistical frameworks for A/B and controlled experiments, including novel approaches for challenging business problems and partial compliance data Develop and evaluate simulation frameworks:
Use Monte Carlo, bootstrapping, or other simulation methods to estimate power, sensitivity, and error rates of experimentation workflows before they go live Translate results for action:
Communicate assumptions, trade-offs, and experiment outcomes (including limitations and risks) to engineers, product leaders, and business partners—regardless of statistical background Advance the discipline:
Drive integration of new methods—from Bayesian inference and sequential testing to causal modelling—into our real-world experimentation platform Foster data-driven culture:
Coach partners on statistical best practices, experimental design, and quality control Minimum Qualifications
Bachelor’s degree or higher in Statistics, Mathematics, Biostatistics, or a highly quantitative field—strong foundation in statistical theory is essential Demonstrated, hands-on experience design(ing) (not just running) A/B or controlled experiments in production or business environments Direct experience with statistical methodologies, such as hypothesis testing, confidence intervals, error rate control, and handling biases/confounders Proficiency in at least one language for statistical analysis (Python, R, or PySpark), with the ability to develop and implement simulation or analysis frameworks Track record of clear, effective explanation of statistical concepts and results to non-technical and technical partners alike Proven ability to own projects end-to-end and influence product or business decisions Preferred Qualifications
Advanced degree (PhD or MSc) in Statistics or related field with an applied experimentation component Experience building or evolving experimentation tools/platforms (not just using off-the-shelf products) Experience with causal inference, Bayesian methods, or sequential/online testing in industry settings Publications, open-source contributions, or professional presentations on experimentation/statistics topics Prior experience in travel, marketplace, or e-commerce experimentation environments What makes you successful in this role?
You thrive when you: Build new experiments from scratch and justify your methodological choices (rather than re-running legacy designs) Prioritise explanation and impact over jargon and buzzwords Translate statistical nuance for audiences at all levels, keeping communication as rigorous as your analysis Love collaborating in interdisciplinary teams and value transparency and scientific integrity.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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