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Data Scientist
Job Ref
274937
Job Type
Permanent
Employer Type
Recruitment Agency
Date Added
17 Jul 2017
Expiry Date 31 Aug 2017
Expiry Date 31 Aug 2017
* There have been 3 applications to this job.
* This job has been viewed 1747 times.
Employer:
Datacentrix
Location:
South Africa
Salary:
Negotiable
Benefits:
Role details:
- - - - - - - - - - - - - -
Our client, aleading distributor of hardware products has a challenging and rewarding position available for DataScientist to be based in Midrand. This position is based in the Digital Data Driven department ofthe client.Responsibilities
• Selecting features, building andoptimizing classifiers using machine learning techniques
• Data mining usingstate-of-the-art methods
• Extending company’s data with third party sources ofinformation when needed
• Enhancing data collection procedures to include information thatis relevant for building analytic systems
• Processing, cleansing, and verifying theintegrity of data used for analysis
• Participating ad-hoc analysis and presenting resultsin a clear and understandable manner
• Creating automated anomaly detection systems andconstant tracking of its performance
Skills and Qualifications
Excellent understanding of machine learning techniques and algorithms.
Experience withcommon data science toolkits.
Great communication skills (Client Facing – ConsultingAttitude)
Experience with data visualization tools, etc.
Proficiency in usingquery languages such as SQL, SAS, Hive, R Programming, MatLab etc.
Experience with NoSQLdatabases, such as Oracle, and MongoDB, etc.
Good applied statistics skills, such asdistributions, statistical testing, regression, etc.
Good scripting and programmingskills.
Data-oriented personality
Knowledge andExpertise:
Data Cleansing and processing
Predictive Modeling
Machine Learning
Identifying Questions
Running Queries
ApplyingStatistical Analysis
Correlating Disparate Data
Storytelling andVisualization
Skills andQualifications
ü Excellent understanding ofmachine learning techniques and algorithms.
ü Experience with common data science toolkits.
ü Great communication skills(Client Facing – Consulting Attitude)
ü Experience with data visualization tools, etc.
ü Proficiency in using querylanguages such as SQL, SAS, Hive, R Programming, MatLab etc.
ü Experience with NoSQL databases,such as Oracle, and MongoDB, etc.
ü Good applied statistics skills, such as distributions, statisticaltesting, regression, etc.
ü Goodscripting and programming skills.
ü Data-oriented personality