Senior Data Scientist


Company 

ENGINEERINGUK

Location 

London

Employment Hours 

Full Time

Employment Type 

Permanent

Salary 

Job Requirements/Description

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Sector: Science and Pharmaceutical
Role: Senior Executive
Contract Type: Permanent
Hours: Full Time

Senior Data Scientist
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 endless possibilities.

This role is a great opportunity to join our global Product Analytics and Experimentation team where we are user experience optimization obsessed! The Shop and Book Product Analytics team focuses on using the power of data to improve the customer experience throughout the Shopping path on all Expedia Brands. A role working cross-functionally to deliver great features to our customers on the Expedia brands.

This will be a senior-level individual contributor role where you will partner with various teams in product, data, engineering, strategy, finance and other analytics teams to understand and improve performance of our products. Examples include optimizing our experimentation strategy, identifying new success measures, sizing opportunities and using advanced analytics methods to drive new test hypotheses.

What you will 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 2025 EG product strategy
  • Work with multiple stakeholders, manage product analytics projects, and operate within a community of analysts, sharing findings, wins and methodologies
  • As the most senior individual contributor 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, operations research, data science or similar and 6+ 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, segmentation, computational systems, 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 leadership, leads complex and vaguely defined projects, and stretches into team leadership skills
  • Creative and analytical in thinking with a love for data, to both disagree with and convince senior partners backed by data
  • Excellent verbal, written and data visualization skills
  • Ability to manage projects with different functions (product, strategy, engineering, etc.), prioritize among conflicting demands and be comfortable with ambiguity

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.

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.

Company 

ENGINEERINGUK

Location 

London

Employment Hours 

Full Time

Employment Type 

Permanent

Salary 

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