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En son teknolojileri kullanarak karmaşık problemleri çözmek üzere yazılımlar geliştiren, genç, dinamik ve profesyonel bir ekip arıyorsanız, Arute Solutions tam size göredir.

Arute Solutions bir teknoloji şirketidir. Makine Öğrenimin ve Yöneylem Araştırma konularında uzmandır. Ekibimiz Veri bilimcileri, Yöneylem Araştırma Mühendisleri ve Yazılım Geliştirme mühendislerinden oluşur. Tüm ekip en yeni teknolojilerde uzman olup teknolojideki trendleri takip ederler. Ekibimiz yurt içi ve yurt dışında bir çok proje gerçekleştirmiş global bir şirkettir

Aşağıda bulunan pozisyonlar için başvuruda bulunabilirsiniz.

Kıdemli Veri Bilimcisi/Makine Öğrenimi Mühendisi

Responsibilities

  • Apply machine learning and statistics expertise to solve analytical problems mainly in finance and location analytics.
  • Work closely with a software development team to convert analytic results into software products.
  • Use machine learning expertise to conceptualize new solutions for financial or other problems.
  • Communicate and document progress and results to the customers and produce analytical reports.

Requirements

  • BS or preferable MS degree in Computer Science, Computational Science, Data Science or general Engineering or related disciplines from a reputable university.
  • Solid theoretical understanding of machine learning concepts and algorithms.
  • Practical experience with supervised and unsupervised machine learning algorithms (e.g. random forest, multilayer perceptron, SVM, k-means clustering, PCA).
  • Experience with Python 3 and its scientific computation and visualisation packages (e.g. numpy, pandas, scikit-learn, matplotlib).
  • Skills in data preprocessing, cleaning and data visualisation.
  • Proficiency (theoretical know-how) in probability and statistics.
  • Good working experience with SQL is necessary to extract and work with data residing in RDMSes.
  • Fluency in written/spoken presentation of analytical results in English.

Nice to Haves

  • Experience with deep learning libraries is a plus (e.g. TensorFlow, PyTorch).
  • Experience with an additional, OOP language is a plus (e.g. C#, C++).
  • Experience with distributed big-data computing frameworks is a plus (e.g. Hadoop, Spark, Kafka).
  • Experience with financial data and solutions experience is a plus.
  • Experience with Time-Series Forecasting is a big plus.