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Data Scientist III- Analytics

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 (EG), we believe that travel brings the world together, and we are passionate about endless possibilities. This role is an excellent opportunity to join the global Product Analytics and Experimentation team where we are user experience optimization obsessed! We power and deliver the use of industry-leading product analytics, user behavior, experimentation and visualization services and capabilities to enable highly tailored and optimized experiences that utilize scientific methods and applied insights.

We are looking for a highly motivated data scientist to join the Voice of the Customer (VoC) Analytics team. In this role, you will be the primary VoC partner for multiple product teams and product leaders. You will help them understand and quantify their customers’ experiences, define and measure product success, manage and deliver insight projects, mentor junior data scientists, and be an advocate for our customers. Good stakeholder management, the creative application of modern machine learning and natural language processing techniques, a structured approach to managing programs of work, and a growth mindset will be key enablers of success in achieving our mission of embedding our customers’ experiences in decision making across EG.

What you will do:

• Be familiar with Python, Scala or R, or any other major machine learning programming language.

• Understand and make recommendations on processes, objectives, and challenges and their impact on the business.

• Build clear, concise and well-structured functional material (e.g., policies & procedures, guidelines, presentations, messages) and recommend improvements to existing material.

• Tailor communications (content focus, style, format, etc.) for different audiences as appropriate.

• Influence action and results, through clear writing, in an accessible way for a wide audience. You structure presentations around a clear narrative and are concise in what's included. You present clearly and engagingly and anticipate questions.

• Frame Expedia's most complex business problems as analytics problems and concrete set of analytical tasks.

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

• 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.

• Leverage others’ skills, knowledge and expertise effectively in problem solving and delivering impact.

• Develop basic solutions utilizing standard software libraries/packages.

• Apply supervised machine learning theory and techniques.

• Be familiar with Python, Scala or R, or any other major machine learning programming language.

• Extract data from multiple data sources and combine into the required datasets for model building or analytics.

• Challenge business processes, recommending and developing solutions to meet unique business needs and achieve objectives.

• Build end-to-end design of models based on detailed understanding of business requirements, including general approach, choice of algorithm and data sources.

• 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.

• Have an extensive experience of big data architecture (streaming events, data lakes, analytics engines) and relational database models as it relates to analytics.

• Apply a range of common statistical methods to business problems determining the ideal method for the problem considering underlying assumptions.

• Solidly understand hypothesis testing.

• Know and apply data visualization principles consistently resulting in clear and consistent outcomes.

• Possess strong knowledge and experience in new and developed charting packages and libraries (e.g., ggplot, plotly).

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.