Data Scientist III, Product Analytics
UK - London
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Data Scientist III, Product 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’ll do:
- You will understand and make recommendations on processes, objectives, and challenges and their impact on the business.
- 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 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.
- You will frame Expedia's most complex business problems as analytics problem and concrete set of analytical tasks.
- 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.
- You will leverage others’ skills, knowledge and expertise effectively in problem solving and delivering impact.
- You will develop basic solutions utilizing standard software libraries/packages.
- You will apply supervised machine learning theory and techniques.
- You will be familiar with Python and the core data manipulation libraries..
- You will extract data from multiple data sources and combine into the required datasets for model building or analytics.
- You will challenge business processes, recommending and developing solutions to meet unique business needs and achieve objectives.
- You will build end-to-end design of models based on detailed understanding of business requirements, including general approach, choice of algorithm and dat sources.
- 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 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 a range of common statistical methods to business problems determining the ideal method for the problem considering underlying assumptions.
- You will solidly understand hypothesis testing.
- You will know and apply data visualization principles consistently resulting in clear and consistent outcomes.
- You will 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.
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®, 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™.
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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 @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.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Big Data Data visualization Machine Learning Mathematics NLP PhD Plotly Python RDBMS SQL Statistics Streaming Testing
Perks/benefits: Career development Team events
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