Data Scientist 1481 views

Hotels.com is growing and they are looking for their new Data Scientist to join the team !

| youtu.be/KA7tSuvLTPY |

They would love you to join one of the leading online travel companies in the world helping millions of customers across the globe find and book the right hotel for them. You will get involved in solving problems and creating new innovative solutions by using some of the latest technology and approaches.

As part of the data science team working across Hotels.com and the Expedia Affiliate Network, they are looking for rock stars to utilise machine learning, advanced analytical and statistical techniques in order to drive millions of choices made on their websites and marketing decisions every day, to help give great customer experiences, improve business operations and enhance value for the company.

In addition the data science team has an R&D mandate, pioneering the use of advanced, emergent techniques across the business to solve the hardest problems, taking discoveries and ideas and transforming them into products and actions in a fast moving, commercially driven and results focused environment.
This can be summed up in their 3 core values of intelligent, enterprising and supportive.

What you will do?

• Working with product and technology groups across the company to enable the adoption of algorithms across the website.
• Develop, maintain and support the ranking and recommendation algorithms used on the Hotels.com website to directly drive conversion and gross profit for the company.
• Perform A/B test design, implementation and analysis on the website in order to determine the effectiveness of their efforts.
• Assist with counter fraud efforts, identifying anomalous behaviour and occurrences prior to loss events.
• Conduct research and development activities, data exploration and discovery, develop prototypes and proof of concepts.
• Stay up to date with the latest data science technologies and techniques and how they can be utilised throughout the organisation.
• Partner with data engineering teams to improve data as an asset of the business.
• Look for opportunities for insights/datasets/models/code to be used across other functions across the organisation.

Who you are?

• Good experience in an analytical/algorithm/data/software development role especially in online ecommerce environments.
• Good SQL/data manipulation skills required including cleaning and managing data.
• Experience with statistics/machine learning packages such as Spark MLlib, Python (scikit-learn, pandas), R etc.
• Scripting/programming languages a plus (Scala, Python, R, Java etc.).
• Degree qualified in quantitative field such as Computer Science, Mathematics, Statistics, Machine Learning / AI
• Knowledge of test design, implementation and evaluation, with website A/B testing experience a plus.
• Real world experience with Internet scale data on a Hadoop or similar platform highly preferred.
• Experience with data visualisation tools and packages a plus.
• Willingness to work with unstructured, messy data.
• Self-starter and results orientated, able to work under minimal guidance.
• Intellectual curiosity and desire to learn new things, techniques and technologies.

Their Offer to You

• Life here encourages you to navigate your dream career and choose your next adventure. They love solving problems, creating ideas and having fun.
• They’re a team of talented and diverse people from all over the world – they learn, grow and succeed this way.
• Their benefits are awesome too – 25 days holiday (+ bank holidays with service based increases), Gym discounts, Travel Allowance, Pension, Healthcare, Leisure and Travel discounts, Gadget Insurance and Computing Benefits Scheme, Flex Allowance just to name a few! + of course a competitive salary.

Join them to disrupt travel industry | youtu.be/hjcJ6SLvxgw | and have a look at what could be your career at Expedia | youtu.be/Y4svv-fIeGM |

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.