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- Tasks: Lead the development of statistical methodologies for A/B testing and experimentation.
- Company: Join Expedia Group, a leader in global travel technology and innovation.
- Benefits: Enjoy travel perks, flexible work options, generous time-off, and career development resources.
- Why this job: Make a real impact on travel experiences while working in a diverse and inclusive culture.
- Qualifications: Bachelor's degree in Mathematics or Statistics; strong analytical and programming skills required.
- Other info: Recognised as a Best Place to Work by Glassdoor in 2024.
The predicted salary is between 43200 - 72000 £ per year.
Machine Learning Scientist III – Experimentation Science (Statistical Methodologies)
Join to apply for the Machine Learning Scientist III – Experimentation Science (Statistical Methodologies) role at Expedia Group
Machine Learning Scientist III – Experimentation Science (Statistical Methodologies)
Join to apply for the Machine Learning Scientist III – Experimentation Science (Statistical Methodologies) role at Expedia Group
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.
Machine Learning Scientist III – Experimentation Science
Introduction To Team
As a Machine Learning 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 colors to booking flows—is rigorously tested to maximize 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 optimize 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
- Analyze 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\’re 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
Experience And 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 rigor 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
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group\’s family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
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Machine Learning Scientist III - Experimentation Science (Statistical Methodologies) employer: Expedia Group
Contact Detail:
Expedia Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Scientist III - Experimentation Science (Statistical Methodologies)
✨Tip Number 1
Familiarise yourself with the latest statistical methodologies and A/B testing frameworks. Being well-versed in these areas will not only help you during interviews but also demonstrate your commitment to the role.
✨Tip Number 2
Engage with the data science community, especially those focused on experimentation science. Networking can provide insights into industry trends and may even lead to referrals within Expedia Group.
✨Tip Number 3
Prepare to discuss real-world applications of your statistical knowledge. Be ready to share examples of how you've applied hypothesis testing and experimental design to solve complex business problems.
✨Tip Number 4
Brush up on your programming skills, particularly in Python or R. Being able to demonstrate your coding abilities during technical discussions will set you apart from other candidates.
We think you need these skills to ace Machine Learning Scientist III - Experimentation Science (Statistical Methodologies)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in statistical methodologies, particularly in hypothesis testing and experimental design. Use specific examples from your past work that demonstrate your ability to apply these concepts in real-world scenarios.
Craft a Strong Cover Letter: In your cover letter, express your passion for experimentation science and how your skills align with the role at Expedia Group. Mention any relevant projects or research you've conducted that showcase your analytical mindset and programming proficiency.
Showcase Your Technical Skills: Clearly outline your programming skills in languages like Python, R, or PySpark. Provide examples of how you've used these skills to implement statistical models or conduct independent research, as this is crucial for the Machine Learning Scientist III position.
Prepare for Potential Questions: Anticipate questions related to your experience with A/B testing and statistical methodologies. Be ready to discuss specific challenges you've faced in experimentation and how you overcame them, as well as your approach to communicating complex statistical concepts to diverse audiences.
How to prepare for a job interview at Expedia Group
✨Showcase Your Statistical Expertise
Be prepared to discuss your deep understanding of statistical methodologies, particularly hypothesis testing and experimental design. Bring examples from your past work where you successfully applied these concepts to real-world problems.
✨Demonstrate Your Programming Skills
Since proficiency in programming languages like Python or R is crucial, be ready to talk about specific projects where you implemented statistical models. Highlight your ability to write clean, maintainable code and any experience with simulation frameworks.
✨Communicate Clearly
Excellent communication skills are essential for this role. Practice explaining complex statistical concepts in simple terms, as you'll need to convey your findings to both technical and non-technical stakeholders during the interview.
✨Prepare for Collaboration Questions
Expect questions about teamwork and collaboration, especially with platform engineers and cross-functional teams. Think of examples that showcase your ability to work effectively in a small, focused team and how you’ve contributed to successful projects.
