data scientist

şimdi başvur

iş ilanı detay

avrupa yakası / ıstanbul, ıstanbul (avrupa)
IT & Telekomünikasyon
referans numarası

iş tanımı

We are looking for a Data Scientist.

Solve complex business problems by employing machine learning, statistical analysis, pattern recognition and high-performance computing techniques
Collect and manage large data sets (structured/unstructured) to perform complex data analysis
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Develop custom data models and algorithms to apply to data sets
Identify patterns within data and create data classification clusters
Transform data into insights to identify quantify business opportunities
Create and run simulations to validate hypotheses and assess business outcomes
Communicate and translate complicated results their implications to business stakeholders, leveraging strong written and verbal communication skills in English Build a service offering consulting and custom solutions
Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques
Identify data sources, both internal and external to Amadeus, and transform them into actionable insights that support fact-based decision making
Coordinate with different functional teams to implement models and monitor outcomes
Develop processes and tools to monitor and analyze model performance and data accuracy
Use predictive modeling to increase and optimize customer experience, revenue generation, ad targeting and other business outcomes Generate innovative solutions
Actively participate to a community of practice for data scientists
Have the capacity to adapt to our fast-paced environment


5+ years of relevant work experience in one or more of the following areas is an advantage:

Analytical Models/Methods, Predictive Modeling, Machine Learning and Optimization Programming Languages: Python, R, Java, Scala, JavaScript
Data Storage: Oracle, Couchbase, other NoSQL databases • Big Data Technologies: Hadoop, MapReduce, Pig, Hive, Spark, Kafka
Data Visualization: Qlik, Tableau, D3.js • Travel sector experience is a plus.
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