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TourRadar is an early stage, venture-backed marketplace disrupting a $50 billion industry. Revolutionizing how multi-day tours are compared and purchased, we provide travellers with a trusted online marketplace to find and book life-
enriching experiences worldwide. Traditionally, these types of experiences have been predominately serviced offline by brick and mortar travel agents, but we recognize that it's time to move this industry online and capture global market share through digital reach.
With over 35 different nationalities in our team and offices spread across Europe, North America and Australia, we work to deliver the best possible service and tour booking experience to our customers.
Launched in 2010, we proudly produce everything in-house thanks to our exceptional internal talent and are now looking to scale our team.
We are currently looking for a Data Scientist to join our team in Vienna.
Work closely with our analytics and tech departments to define key source data, required reporting metrics, assess the status of existing reporting capabilities and work with teams on go forward solutions
Import, scrub, transform, validate and model the data with the purpose of helping executives / strategists understand or draw insights from it
Identify, analyze, and interpret trends or patterns in complex data sets
Mine and analyze data from company data sources to drive optimization and improvement of product development, marketing techniques and business strategies
Develop custom data models and algorithms to apply to data sets
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
Proactively support and participate in product / team improvement initiatives; define new process improvement opportunities
Solid background in mathematics, computer science, statistics
Strong analytical skills with the ability to collect, organize and analyze significant amounts of information with attention to detail and accuracy
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Good presentation and communication skills, ability to explain complex technical problems in simple words
Strong knowledge of and experience with relational databases, including the experience of writing the queries in SQL
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
and their real-world advantages / drawbacks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.
and experience with applications
Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets
Bonus Skills :
Understanding and experience with neural networks and deep learning algorithms
Experience with Big Data frameworks like Hadoop, Spark, etc.
Experience with building and maintaining data pipelines
Experience with Amazon Web Services
Experience with PostgreSQL
What can you expect?
International work environment with English as the working language
The stability and excitement of working for a fast scaling Series C funded startup
Regular team outings
Brand new office in the city center (1010 Vienna) including a foosball table and barbecue area
Great career opportunities and individual development plan
Cake on your birthday!