Data Scientist I, Analytics

Expedia Group, Inc.; London; On-site; GBP 45,000 - 75,000; Full time

Job summary

An established industry player is seeking a Data Scientist I to join their dynamic CRM Testing and Analytics team. In this role, you will leverage your analytical skills and creativity to optimize marketing campaigns and influence strategic decisions. Collaborating with talented data scientists, you will tackle complex business problems using SQL, Python, and statistical methods. This position offers a unique opportunity to make a significant impact on customer engagement strategies in a vibrant and inclusive work environment. If you are passionate about data-driven decision-making and eager to contribute to a forward-thinking organization, this role is perfect for you.

Benefits

Flexible work model

Generous time-off

Parental leave

Career development resources

Exciting travel perks

Qualifications

• Strong knowledge of SQL and experience with Python or R.
• Ability to communicate complex concepts clearly.
• Experience with statistics and modeling techniques.

Responsibilities

• Develop and maintain methods to optimize marketing campaigns.
• Design and analyze A/B tests for marketing insights.
• Work closely with data scientists and marketing teams.

Skills

SQL

Python

R

Statistical Analysis

Analytical Problem-Solving

Education

Bachelor's or Master's in Mathematics

Bachelor's or Master's in Science

Bachelor's or Master's in Statistics

Bachelor's or Master's in Economics

Tools

PySpark

Data Visualization Tools

Job description

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.

Introduction to team:

The TEaL (Traveler Engagement and Loyalty) Analytics team sits within the Traveler & Marketing Analytics team, working on tackling sophisticated analytical and business problems with a focus on statistics and data analytics. In this role, your keen interest in marketing analytics will help us solve tough problems and influence positive change.

You will be responsible for devising, developing and maintaining methods and tools to help optimize our marketing campaigns and capital allocation process. This could involve designing and analyzing A/B tests, developing testing methodologies to gather insight from a marketing test, or using machine learning methods to help predict returns where testing is not possible.
You will work closely with other highly-skilled data scientists across Expedia Group, partnering with our digital marketing teams, as well as colleagues across Finance and Product.

Make an Impact:
If you're as excited as we are about using data to drive positive change and build an outstanding customer experience, this may be the role for you!
We are looking for a hardworking, independent, and driven Data Scientist I to join the CRM Testing and Analytics team to support the Traveler Engagement and Loyalty (TEaL) organization. You will provide powerful insights that shape the way we market, engage and incentivize our traveler base. This is a great opportunity to join a fun, exciting, data driven, and customer centric company.
As an Individual Contributor you will partner closely with your stakeholders and contribute to the improvement of many different areas within CRM including: the set-up and analysis of A/B tests, exploratory deep dives into traveler behavior, and devising novel frameworks and methods to test when traditional methods are not possible. You will also have the opportunity to produce and deliver presentations to influence the thinking of senior leadership in the TEaL organization.

In this role you will:

• Apply your knowledge of SQL, Python or R on a daily basis
• Use your creativity and commercial acumen to translate business problems into structured analytical questions, and choose the most appropriate methodologies to answer these questions
• Constantly assess the status quo, find and discuss opportunities for optimisation, simplification and acceleration of current processes
• Clearly and confidently articulate decision-making rationale, solutions, methodologies and frameworks to team members and both technical and non-technical partners
• Pick analytically valid approaches, appropriate in terms of level of effort, favouring iterative delivery that tackle the objective, not the ask
• Prioritize multiple tasks and workstreams simultaneously and own projects end to end

Experience and qualifications:

• You have a Bachelor's or Master's degree in Mathematics, Science, Statistics or Economics, or equivalent related professional experience
• You have experience with SQL, with experience in Python / PySpark / R to structure, transform and visualize big data being a plus
• Knowledge of statistics and modelling techniques
• Excellent analytical problem-solving skills and can-do attitude
• Ability to communicate sophisticated concepts concisely and clearly
• Display strong domain knowledge, business acumen and critical reasoning skills

#LI-DNI

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

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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.