Data Scientist

Tracker requires the services of a Data Scientist in our Technology Department. The Data Scientist will be responsible for design, analyse, develop and deliver sophisticated data science and machine learning solutions, results and products in a telemetry/telematics engineering environment by utilising relevant experience with mobile/accelerometer signal and data processing, along with strong mathematical, systems engineering and/or computer scientific skillsets. Should you be interested in this challenge and meet the job requirements, please forward your application before the closing date.

• Deliver data science and related projects on time, in budget, with the desired functionality, at the defined quality level in a sustainable way.
• Develop innovative and sophisticated but sustainable and producible ML/Data Scientific solutions based on telemetry data/telematics data/mobile data/other sensor data sources.
• Meet best practice criteria in the testing of software.
• Complete work orders in appropriate timescales.
• Maintain and systems without introducing new defects.
• Enhance systems to support and move to new technologies.
• Share knowledge with development and support teams.
• Document systems, including enhancements to facilitate knowledge sharing.
• Ensure that the approved best practice development processes and standards are followed.
• Effective use of development toolset.
• Follow department development standards.

• BEng/BSc (4 years) (completed) or BEng/BSc Honours (Completed) or Meng/MBSc (completed or in progress) or
• Strong preference for Engineering degree with relevant software, systems and data research/development focus/exposure
• Electronic / Electrical or Computer or Systems or related Engineering.
• Computer Science, in combination with strong Statistical, Mathematical and Applications Development
• First-hand experience in Engineering Research projects and/or Data Scientific Research projects with a strong focus on Engineering research for purposes of implementation.
• Minimum exposure to 1 project where full responsibility for all work, from data gathering from raw source (preferably sensor based raw data), to analysis design, to machine learning/optimisation/statistical approach, to final results, culminating in (formal or informal) publication of results.
• Demonstrate proficiency with university level Engineering mathematics
• Demonstrate proficiency with university level statistics
• Demonstrate proficiency with either R/MatLab or Python SciKitLearn MathLibs StatsLibs.
• Minimum last 2 years C/C /Java/Python development experience
• Minimum 4 years direct hands-on software development experience in an Engineering and/or Software Development environment.
• Minimum 1 project direct hands on experience in Telematics/IoT/Telemetry related industry.
• Minimum 4 years working experience in the following technologies:
• Advanced Linux
• MatLab and/or R
• Python
• C# or C or Objective-C or C
• Java or Scala
• SQL
• Hadoop (or MS Azure versions)
• Spark and/or Yarn (or MS Azure versions)
• Analysis research execution, analysis, delivery of results.
• Experience with concepts such as Quaternions, Adaptive Low Pass Filters, FFT, Linear Algebra, Advanced Calculus, Pattern Detection Approaches, Moments Analyses, etc.
• Application of statistical hypothesis testing, distribution matching, etc.
• Exposure to concepts such as hyper-parameter optimisation, multi-model comparison, etc.
• Sufficient exposure to Best Practice Software Engineering experience important (version control e.g. Git, test cases, etc.)
• Comfortable database and data centric work experience of relevance.
• Exposure to any Cloud technologies an advantage.
• Self-starter
• Ensures high quality.
• Encourages collaboration and delivering within the delivery processes.
• Continuous self-learning
• Able to work effectively on own.
• Able to work effectively within a team.