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