Data Scientist
5 days ago
**Position Summary**:
**Industry**:IT & Internet**Job category**:Data Processing**Location**:Centurion**Contract**:Permanent**EE position**:Yes**Introduction**:
Contribute to the design, analysis, development and delivery of sophisticated large scale cloud data processing, sophisticated data analysis, industry leading data science and machine learning solutions and products in a telematics and 4IR engineering environment by utilising relevant data processing, data science and machine learning knowledge, enabled by a sound mathematical foundation and a university degree in either Engineering or Computer Science along with entry level work or related project exposure to data science.
**Job description**:
- Delivery of data science and related projects
- Best practice testing
- System maintenance and support
- Knowledge transfer
- Training and development
- Engineering processes and environment
**Minimum requirements**:
- BEng (4 years) (completed) or BSc (Comp Sci) (completed)
- Honours or Master levels in above also welcome but not required.
- University Tertiary Degree
- Engineering degree with relevant Data Analysis / Machine Learning / Data Science experience
- Electronic / Electrical or Computer or Systems or related Engineering
- Computer Science degree with relevant Data Analysis / Machine Learning / Data Science experience
- Computer Science, in combination with strong Statistical, Mathematical and Application Development
**Non-negotiable skills/experience**
- Minimum experience times (could be overlapping)
- Minimum 6-months hands-on analysis/ML/Data Science experience in an Engineering/Software Development/Computer Science environment.
- Minimum 6-month Data Science/ML work or study experience with technologies below
- Data Analysis / ML / Data Science experience in a data processing / data rich environment.
- Exposure to Analysis/Data Science research addressing design, planning, scoping, execution, analysis, delivery, roll-out of results.
- Engineering development projects with a focus on engineering product development and delivery.
- Exposure to at least 1 industry project with shared responsibility for work, from unprocessed (preferably sensor) data gathering, to analysis design, to software design, to software development, to machine learning/optimisation approach, to outcome culminating in (formal or informal) publication of results and product deployment.
- Any relevant research projects/thesis/academic publication might substitute here, pending evaluation
**Demonstratable proficiency with**:
- University level mathematics and statistics- Non-negotiable technology development experience- Working experience (as per above minimum exposure) with the following technology groups Required (ALL items) Python (with all major known DS/ML/Data Processing libraries) Jupyter Notebooks (or related) SciKit Learn (or related) ML library use SQL and Databases**As well as any 3 of**
- Tensorflow or Keras or PyTorch / related experience Advanced Linux DataBricks MatLab and/or R**One or more of**:
- C#/C /Objective-C/C/Java/Scala/Swift Spark and/or Hadoop (or MS Azure versions) and/or Yarn (or MS Azure versions) Azure and/or AWS and/or Google-Cloud development ESRI/ArcGis/Other GIS processing technologies IoT/Telemetry sensor system development
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