Job Description

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• 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
• {{Select from the above and add other responsibilities that are relevant}}
• 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 {{depending on specific project requirements}}. Excellence in at least one of these is highly desirable
• Great communication skills
• Experience with data visualisation tools, such as D3.js, GGplot, etc.
• Proficiency in using query languages such as SQL, Hive, Pig {{actual list depends on what you are currently using in your company}}
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase {{depending on project needs}}
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good scripting and programming skills {{if you expect that the person in this role will integrate the solution within the base application, list any programming languages and core frameworks currently being used}

Company Profile:

Permanent

Salary:

Industry: IT / Software

Functional Area: Software Development

Role Category: iOS Application Developer

Employment Type: Full time

Keyskills