Senior Data Scientist

ETS ERSOY TURİSTİK SERVİSLERİ ANONİM ŞİRKETİ

Etstur, one of the leading brands of Turkish tourism sector, was established in 1991 to provide package tour and hotel accommodation service. Etstur, under the leadership of Mehmet Ersoy, has been breaking new grounds by growing rapidly since its establishment due to its visionary approach in organized travel sector. Featuring its innovative approach in the sector, the brand carries out the sales and marketing of thousands of hotels domestically. Releasing hundreds of tour packages comprising 60 destinations in Turkey and about 40 in abroad, Etstur hosts many brands. Etstur boosts the consumer in tourism and travel fields with Didimtur, the travel agency providing service to large masses, Jetset, issuing customized and luxurious travel packages, Ucuzabilet.com, carrying out the sales of flight tickets for affordable prices, Otelpuan.com, publishing the objective reviews of the guests about the properties, Odamax.com, the online accommodation platform, Etsmice, the solution partner of corporate world in travel and organization planning and Lets Go, a magazine of travel trends. Following up closely the changing travel habits over the world, Etstur also aspires the developments in technology as in any field. Shaping its framework with this aspect in future planning, the brand sustains its technologic transformation to deliver the best service for the guests.

QUALIFICATIONS

• Solid theoretical background about some of data science fields such as machine learning, natural language processing or deep learning,
• MS or PHD on computer science or any related field with data analytics,
• 3 - 4 years experience with a variety of programming languages and computing environments. Especially on Java, Scala or Python,
• Familiar with Linux shell environment,
• Experience in extracting, cleaning and preparing data for modeling,
• Experience in building and applying machine learning/predictive modeling in real-world use cases,
• Experience in statistical packages and ML libraries such as Python SciKit, Spark MLib etc.,
• Passionate about learning new technologies and working on massive scale data,
• Familiarity with big data querying tools, such as Hive, Impala etc.,
• Understanding of NoSQL databases (e.g., HBase, Cassandra, Mongo DB, CouchBase),
• Knowledge on data modelling,
• Experience on working with unstructured data,
• Ability to learn quickly in a fast-paced, dynamic team environment,
• Ability to craft new technical solutions to problems,
• Highly effective communication and collaboration skills,
• Experience on project & team management.

JOB DESCRIPTION

Our team applies analytic techniques such as machine learning, natural language processing and deep learning to extract knowledge and reach optimum solutions for real-world problems by analysing massive amounts of data. We are looking for candidates who has strong analytical and technical skill to develop and improve analytic models.