Job description

We are looking for a data scientist that will help us in discovering full potential of the information gathered from a network of connected cars, built on a blockchain, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

Functional area

  • Automate scoring using machine learning techniques
  • Risk assessment and accident prevention systems
  • Data classification
  • Internal A/B testing procedures
  • Automated fraud detection

Responsibilities

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance

Skills and Qualifications

  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc.
  • Experience with data visualisation tools, such as D3.js, GGplot, etc.
  • Proficiency in using query languages such as SQL, Hive, Pig
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills, including Python and C++
  • Data-oriented personality
  • Great communication skills
  • 3 years of experience on the similar position

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