Data Scientist III, Product Analytics

Job title:

Data Scientist III, Product Analytics

Company

Expedia

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 global hybrid work setup (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.Role Summary
A high performing individual contributor who consistently applies – and sometimes enhances – the analytics capabilities, principles and playbooks to solve complex business issues and opportunities. Operates largely independently and mentors more junior colleagues.Are you excited by the opportunity to pioneer the future of travel? Do you want to redefine the way people plan, search for, and book their travel? At Expedia Group, we believe that travel brings the world together, and we are passionate about the endless possibilities.We are seeking an experienced Product Analyst to join our Product Analytics & Experimentation Team to partner with product managers and focus on user experience optimization.As a Data Scientist III, you will support critical business decisions throughout the product development lifecycle that improve the user experience for millions of travelers. Your role will involve uncovering customer friction points, opportunity sizing, identifying new success measures, hypothesis generation and prioritization, experimentation design or other measurement frameworks, impartial analysis, and recommendations. If you are a self-starter and have shown success in using analytics to drive innovation and user engagement, this position is for you!What You’ll Do:

• Apply your expertise in quantitative analysis, data mining, ML programming, data visualization with a goal of improving customer experience

• Own end to end process in designing and running complex experiments (A/B tests, Pre-Post, Interleaving), proactively see opportunities and recommend new features for test and learn

• Collaborate across the analytics community to define how we embed new metrics and methodologies into our experimentation culture

• Lead key strategic projects within the shopping experience to support goal setting, opportunity sizing, product performance review and ultimately EG product strategy

• Work with multiple stakeholders, manage product analytics projects, and operate within a community of analysts, sharing findings, wins and methodologies

• As one of the most senior individual contributors in the team, raise the bar in prescriptive and predictive insights across product analytics, leading by examples and coaching more junior analysts

• Influence action and results, through clear writing, in an accessible way for a wide audience. Structure presentations around a clear and concise narrative, present clearly and engagingly, anticipating questions

Who You Are:

• Excellent logical thinking, a very strong background (Bachelor’s/Master’s degree) in a quantitative field such as mathematics, statistics, physics, engineering, data science or similar and 5+ years of experience in industry or equivalent

• Expert with Python, Scala or R, or any other major machine learning programming language

• Expert in statistical analysis and experimentation, pre-post analysis, segmentation, optimization techniques and interpretation of machine learning models such as propensity modelling and forecasting techniques

• High performing and influential individual contributor who leads by example while continuing to mentor junior data scientists, interfaces consistently with product & tech leaders, and leads complex and vaguely defined projects

• Creative and analytical in thinking with a love for data, picking analytically valid approaches favouring iterative delivery that solves for the objective, not the ask

• Ability to manage projects with different functions (product, strategy, engineering, etc.), prioritize among conflicting demands and be comfortable with ambiguity

• Excellent verbal, written and data visualization skills

Accommodation requestsIf 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: 2029030-50Employment 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.

Expected salary

Location

London

Job date

Fri, 27 Dec 2024 23:49:21 GMT

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