Data Scientist
Introduction
Reference: JHB000336-EL-1
Our client in the media and broadcasting industry is looking to hire a dynamic and driven data Scientist to join their team.
Description
POSITION : Data Scientist
AREA : Randburg
SALARY : Market Related
MAIN PURPOSE OF THE ROLE:
The candidate must design, develop, maintain and support projects using a variety of Big Data/Data Science technologies.
SKILLS & QUALIFICATIONS:
- Must have BSc Computer Science / Engineering is mandatory. Honors, masterβs or doctoral degree prefered
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- Must have 4 β 5 yearsβ experience in a comparable environment- Must have experience in reporting and presentation to senior and executive management
- Must have strong core Java skills
- Must have strong Linux skills
- Must have knowledge and experience building massively scalable systems
- Must have knowledge and experience working with high volumes of data (beneficial)
- Must have knowledge of SCRUM and Agile methodologies (beneficial)
Languages:
- Required: Java , Python, HTML, JavaScript, Linux shell scripting
- Beneficial: NodeJS
DB:
- Required: MSSQL, MySQL, MongoDB, ElasticSearch
- Beneficial: HDFS, Hadoop, HBase
Other:
- Required: Data Science, AI & ML experience
- Required: Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc.
- Required: Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Beneficial: Experience with data visualization tools, such as D3.js, GGplot, etc.
- Beneficial: Tensorflow, Keras, Spark, Mahout, Storm, Docker, third party Analytics platforms
DUTIES & RESPONSIBILITIES:
Design, develop, maintain and support projects using a variety of Big Data/Data Science technologies. Typical duties include:
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Extending companyβs 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
- Developing real-time reports, dashboards and visualizations
Please note that if you have not received a response within 14 days of submitting your application that your application was unsuccessful. However, please keep a lookout on our website, [URL Disabled] for available positions which may be inline with your career aspirations
Apply Here http://bit.ly/2MoimMk
Β« Java Developer and Data AnalyticsSecurity Engineer L2-Dimension Data Β»
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