Culture Trip is a global hyper-growth startup operating in travel, media and entertainment. We create stories that reveal what is unique and special about a place, its people and its culture. In-house creative teams work with a global network of more than 300 freelance creators to produce articles, videos, photography, illustration and animation.

From just a dozen people in late 2016, the team has expanded to more than 250. This diverse group of software engineers, product designers, data scientists, editorial experts and content creators are spread across offices in London, New York City and Tel Aviv. Alumni of companies including Google, Facebook, Expedia, Lonely Planet, Spotify, Bloomberg, Viacom, TripAdvisor and the BBC have joined recently. A recent Series B funding injection from PPF Group of $80 million has further propelled rapid growth. Monthly unique visitors to the site have gone from 4 million to nearly 20 million, cross-platform social followers have increased from 1 million to 7 million, and app downloads have leapt from 50,000 to 1.5 million. Culture Trip videos have been viewed more than 2 billion times. Culture Trip, founded by Dr Kris Naudts, has been named by Forbes as one of the fastest-growing companies to watch.

Everyone working at Culture Trip is driven by a shared vision to inspire people to go beyond their cultural boundaries and connect with the world around them. We want to bring the world to everyone and in doing so bring everyone closer together.

We are looking for an outstanding, hands-on Data Scientist, adept at not only understanding and interpreting data, but also distilling its insights and influencing change in the organisation. You should have a proven record of working with large amounts of data creating insights and building production-ready machine learning models. Experience of this in the media industry would be an added bonus. You should be a self-starter with an entrepreneurial spirit, able to think outside the box and take initiative. You should have a natural affinity for numbers and be a confident communicator. Above all, you should be smart, passionate and dedicated to building a great business.

Main Responsibilities
Build production-ready machine learning models – test, document, maintain and track their performance
Analysing and interpret large amounts of data in the most efficient way distilling useful insights
Identify appropriate data sources internally and externally
Help improving the data science infrastructure
Communicate complex ideas in a clear, precise, yet accessible way, making sure insights are easy to understand for the less data-minded
Work with Product Managers and the respective teams to understand requirements and write specifications for the projects your working on
Identify opportunities in the company to help the development of the roadmap
Manage your time and plan resources to finish projects in a timely manner
Learn new technologies that align with your own and the company’s interest
Speak at events and conferences


Culture Trip


You should have either an MSc or PhD degree in Statistics, Math, Physics, Engineering, or a similar, relevant subject and at least 1 years experience in a similar Data Scientist role
or an MSc in Data Science or Machine Learning (Specific experience within digital media publishing is a plus)
You must be highly proficient in Python and its libraries
You must understand and should have used Machine Learning algorithms in production (Regression algorithms, Decision Trees, SVMs, Gradient Boosting algorithms, etc)
A plus is experience with NLP and/or image/video analysis
You should have experience with version control and automatic testing of code
You will need superb analysis skills, to be numerate and highly familiar with common media and tech-industry metrics. You will be able to assess data and identify important trends and insights amongst the numbers
You should be a confident communicator, capable of building strong, supportive relationships and making data intelligible to all departments. You should be good at influencing these departments to make smarter decisions
You should be able to spot opportunities to improve processes and have the conviction to voice these improvements and the determination to see through the changes
Ability to tackle complex questions in a pragmatic way
You should be comfortable working within a global company, liaising across different time zones, and have a passion for culture

Educational level:

Master Degree

Level of experience (years):

Entry Level (Less than 2 years of Experience)

How to apply:

Please mention NLP People as a source when applying


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