Join the TGS family

Data Scientist – Machine Learning

Would you like to be part of a newly established team working in a startup atmosphere in a company that earns billions of dollars? We are looking for an experienced Data Scientist that will translate big data into insights in the travel industry!
You will be working on all aspects of the travel business: recommendation engines, prediction models price optimization and more. Your challenge will be utilizing new technologies, data science, machine learning and other forms of artificial intelligence to optimize business decisions and create value for our clients and partners.

Required:

•Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
•Minimum three years of relevant work experience
•Experience with at least one scripting language, e.g. R, Octave, and one programming language, e.g. Python, Perl, C/C++, Java
•Strong knowledge of relational databases and high SQL skills
•The ability to build and optimize machine learning models, to select the right tool or the right task and to judge when a model is good enough for a particular purpose
•Strong statistics background
•Experience in algorithm programming, experimentation, data visualization, machine learning, optimization and big data
•Excellent communication skills; ability to communicate team results with all stakeholder levels

Preferred:

•Experience implementing a real-world Recommender or Ranking system
•Worked with big data eco-system
•Implemented distributed software, preferably in a Linux OS
•Proven experience in solving real problems using machine learning techniques
•Prior practical experience with the elementary machine learning models such as logistic regression and random forests, and experience with one more other areas such as: (Deep) Neural Networks, Natural language processing Hidden Markov Models, Conditional Random Fields, Game Theory, Mechanism Design, Latent Dirichlet Allocation.

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Data Scientist – Machine Learning