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- Tasks: Lead the design and validation of innovative statistical methodologies for product experimentation.
- Company: Join Expedia Group, a leader in global travel technology.
- Benefits: Enjoy travel perks, generous time-off, flexible work, and career development resources.
- Why this job: Shape the future of travel while making a real impact with your statistical expertise.
- Qualifications: Bachelor's degree in a quantitative field and hands-on experience with A/B testing.
- Other info: Collaborative environment with opportunities to advance your career in a vibrant community.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.
About the Role: 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 designing (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.
Data Scientist in Slough employer: Expedia Group
Contact Detail:
Expedia Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experimentation projects, A/B tests, and any cool statistical methods you've used. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex statistical concepts in simple terms. Remember, you’ll need to impress both technical and non-technical stakeholders!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our vibrant community.
We think you need these skills to ace Data Scientist in Slough
Some tips for your application 🫡
Show Your Passion for Experimentation: When writing your application, let your enthusiasm for experimental design and statistics shine through. Share specific examples of how you've tackled complex challenges in the past, and don't shy away from discussing your innovative approaches.
Be Clear and Concise: We want to see your ability to communicate effectively, so keep your application straightforward. Avoid jargon and focus on clearly explaining your experience with A/B testing and statistical methodologies, making it easy for us to understand your impact.
Tailor Your Application: Make sure to customise your application to highlight how your skills align with our needs. Reference the specific qualifications mentioned in the job description, like your experience with causal inference or simulation frameworks, to show us you're a perfect fit.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows us you're keen to join our vibrant community!
How to prepare for a job interview at Expedia Group
✨Know Your Experimental Methodologies
Make sure you brush up on your knowledge of experimental design and statistical methodologies. Be ready to discuss your experience with A/B testing and how you've designed experiments from scratch, not just run them. This will show that you understand the nuances of experimentation and can bring real value to the team.
✨Communicate Clearly
Practice explaining complex statistical concepts in simple terms. You’ll need to convey your findings to both technical and non-technical stakeholders, so being able to break down your work into digestible pieces is crucial. Think about examples from your past where you successfully communicated results and their implications.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you approached them. Highlight your ability to adapt frameworks for hypothesis testing and error control in messy environments. This will demonstrate your pragmatic creativity and scientific rigour, which are key for this role.
✨Foster a Data-Driven Culture
Be ready to talk about how you've coached others on statistical best practices and experimental design. Share examples of how you've influenced product or business decisions through data-driven insights. This will show that you’re not just a numbers person but also someone who can drive change within a team.
