Data Scientist ,INFORMATION TECHNOLOGY( North East Gauteng,)

 CLOSING DATE :04 SEPTEMBER 2013

A dynamic forward-thinking company with a startup culture, based in Rosebank, is looking for Data Scientists


ROLES  & RESPONSIBILITIES 

• The company is assembling a Big Data Analytics team to drive new and innovative ideas to business units
• The team will use an investigative, Hadoop-based computing platform to bring un-modeled, multi-structured data (e.g., massive data logs, documents, social media and transactional data) into an investigative data store for experimentation
• The core Data Analytics team will consist of a Data Scientist and Hadoop Developers working alongside the Business Development Director and subject-matter experts
• The team will use a combination of existing tools and self-generated code to explore data
• Data exploration will be used to test business hypotheses, develop algorithms, hack through defined problems and provide feedback on both existing products and products under development
• R & D greenfield projects

KNOWLEDGE & EXPERIENCE

• Matric
• Bachelor’s degree with honours post-graduate in Math, Statistics, or Computer Science
• Experience with applied quantitative research working with real-world data, either through thesis research, internships, or work experience
• BA/BS, MS Degree in Math, Statistics, or Computer Science
• Good exploratory analysis skills
• Hands-on experience hacking data using Python, Perl, Java and / or C#
• an obsession for information, solving insurmountable problems and finding unique ways to accelerate our business
• Demonstrated ability to successfully complete projects with large or incomplete data sets and be able to provide solutions
• Some advanced statistical or computational programming
• Familiarity with modern databases and distributed computing systems (experience with Hadoop, HBase, Hive, Pig, Solr, Lucene, and / or Mahout is preferred)
• Programming expertise with statistical software packages (R, Matlab, or SPSS)
• The ability to generate and create algorithms and models rather than relying on out-of-the-box ones
• The ability to perform quality analytics across myriad data sources
• Experience with predictive analytics, optimisation, and stochastic processes
• Familiarity with algorithms in predictive modeling such as regression, clustering, decision trees, neural networks, and SVM
• Machine learning experience preferred

HOW TO APPLY

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