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Data Scientist III, Product Analytics

Data Scientist III, Product Analytics
London, GB
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Job Description

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_ Data Scientist III, Product Analytics_

Are you passionate about data, analytics, and working with top talent to tackle complex problems? If you’re motivated about making an immediate impact on re-imaging travel by gleaning insightful recommendations that drive improvements, we want to speak to you!

We are seeking an experienced analytics professional to join our Product Analytics & Experimentation Team, supporting a brand portfolio that includes some of the world’s leading online travel brands. This will be a mid-level individual contributor role partnering with product managers and focusing on user experience optimization. This role will be supporting key business decisions throughout the product development lifecycle that improves the user experience for millions of travelers. This will involve uncovering customer friction points, hypothesis generation and prioritization, experimentation design, valid and impartial test analysis, and recommendations. If you are a self-starter and have shown success in using analytics to drive the innovation and user engagement of a product, this position is for you.

What You Will Do:

** Machine Learning Engineering:**

  • You will be familiar with Python, Scala or R, or any other major machine learning programming language.
  • You will extract data from multiple data sources and combine into the required datasets for model building or analytics.

** Machine Learning:**

  • You will apply supervised machine learning theory and techniques.
  • You will develop basic solutions utilizing standard software libraries/packages.
  • You will help in all activities, especially in proper model selection, regularization and evaluation to be able to develop robust solutions.

** Statistics:**

  • You will apply a range of common statistical methods to business problems determining the ideal method for the problem considering underlying assumptions.
  • You will understand limitations of selected methods and both frequentist and Bayesian statistics.
  • You will solidly understand hypothesis testing.
  • You will design complex experiments and apply common methods such as linear and non-linear aggression, multivariate analysis.

** Model Design:**

  • You will build end-to-end design of models based on detailed understanding of business requirements, including general approach, choice of algorithm and data sources.
  • You will reflect a deep understanding of business requirements in model output. Adhere to standard methodologies, academic research and experience.
  • You will display advanced domain (i.e., travel, online retail) knowledge, business acumen (understanding the underlying business objectives) and critical reasoning skills.
  • You will challenges business processes recommending and developing solutions to meet unique business needs and achieve objectives.

** Visualization:**

  • You will know and apply data visualization principles consistently resulting in clear and consistent outcomes.
  • You will create clear and consistent visualizations with expert use of typography.
  • You will experience with UX and UI concepts, such as padding, framing, chart placement, white space balance and hierarchy of elements.
  • You will be familiar with HTML/CSS/JavaScript for custom visualization applications beyond the limits of visualization tools.
  • You will possess strong knowledge and experience in new and developed charting packages and libraries (e.g., ggplot, plotly).

** Communication and presentation:**

  • You will build clear, concise and well-structured functional material (e.g., policies & procedures, guidelines, presentations, messages) and recommend improvements to existing material.
  • You will tailor communications (content focus, style, format, etc.) for different audiences as appropriate.
  • You will understand and make recommendations on processes, objectives, and challenges and their impact on the business.
  • You will influence action and results, through clear writing, in an accessible way for a wide audience. Structure presentations around a clear narrative and is concise in what's included. Present clearly and engagingly and anticipates questions.

** Analytics Engineering:**

  • You will have an extensive experience of big data architecture (streaming events, data lakes, analytics engines) and relational database models as it relates to analytics.
  • You will apply advanced querying capabilities such as: creating Views and Tables (+Indexes and Permissions), creating Store Procedures (+ Flow Control), SQL Ranking (RANK() OVER ... PARTITION BY...), Cursors & Temp Tables.
  • You will build production grade data pipelines, which can support business critical applications.

** Problem solving, Project management and impact:**

  • You will frame Expedia's most complex business problems as an analytics problem and concrete set of analytical tasks.

  • You will leverage others’ skills, knowledge and expertise effectively in problem solving and delivering impact.

  • You will display advanced domain (i.e. travel, online retail) knowledge, business acumen (understanding the underlying business objectives), curiosity and critical reasoning skills.

  • You will pick analytically valid approaches, appropriate in terms of level of effort, favoring iterative delivery that solves for the objective, not the ask (i.e. not just order-taking). Use advanced and sophisticated understanding of the business problem space to inform the design of the solution.

General Skills:

  • 2+ years’ analytics experience in a business context to drive insights

  • Passionate for logical problem solving and intellectual challenges

  • Curious by nature with an enthusiasm for making an impact

  • Able to work across team and communicate the results of sophisticated analyses in a clear and effective manner company-wide

  • Excellent logical and critical thinker with a background in a quantitative field such as mathematics, physics, engineering, operations research, data science or similar, and a scientific approach to problem-solving (i.e. ability to ask the right questions and craft appropriate analyses to answer them)

  • Able to perform in a fast-paced environment and be comfortable with ambiguity. A sharp focus on results and strong attention to detail

Technical Skills:

  • Expert with large data sets and proficient in SQL

  • Proficient in building data visualizations (Tableau, Looker, etc.)

  • Experience in modeling selection, building and evaluation

  • Understanding of statistics and hypothesis testing (ex. Confidence Interval, Regressions, Time Series, Clustering, Factor Analysis)

  • A/B testing design and analysis

  • Experience with big data tools / languages (Hadoop, Hive, Spark)

  • Experience with R, python, or other coding language a plus

  • Experience with web analytics tools such as Adobe Analytics or Google Analytics a plus

Who you are:

  • Bachelor's, Master’s, PhD or Equivalent Experience; Mathematics, Science, Statistics degree or a related Technical field; or Equivalent related professional experience is applicable.
  • 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.
  • Develops and drives significant and sustained change and performance improvement from data-driven insights in a number of different areas or contexts.
  • Builds and maintains a data science project/product in production environments.

About Expedia Group

Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia®,®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®,™, and Expedia Cruises™.

© 2021 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 to whom we have not made prior contact. Our email domain is The official website to find and apply for job openings at Expedia Group is

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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