The main purpose of this position is to establish Data Science architectural foundations, Data Science best practices and Data Science driven products to customers. The aim is to add functional and innovative value to both the company and its clients.

  • Collaborating with Management, Senior Engineers, Designers, Developers and Project Managers to establish goals and deadlines.
  • Intake: Facilitates the capturing and review of new requests and shepherds them through the necessary process steps.
  • Researching current and new technologies and programming solutions.
  • Build conceptual Models for prototyping and if successful, implement to production.
  • Writing and creating programs for specific uses per company or client needs.
  • Compiling and presenting monthly progress and operational reports to the management team.
  • Manage portfolio prioritisation process and communication with key stakeholders to proactively manage dependencies.
  • Troubleshooting database anomalies, problems, inefficiencies and data loss.
  • Formulate, recommend and implement best practices across teams to improve effectiveness and ability to execute.
  • First class relationship management and collaboration across a complex, cross functional group, with internal partners/stakeholders, Product Design, Product Owners and development teams.
  • Monitor and communicate progress of new projects in terms of priorities, schedule and assessment of risks/issues.
  • Analyse existing client data to be able to build future systems that can eliminate the risks identified.
  • Look for current inefficiencies across internal systems and provide suggestions for optimization.
  • Find unique solutions to client data consumption requirements.
  • Use AI and ML to find problems in client data that can be translated into system solutions such as dashboards or reporting.
  • Product and Solution Failure – Should a client solution fail to execute or function as expected, engage with technical and developmental teams to solve.
  • Extract, manipulate and analyse data from various platforms (Cloud/local hosted) using SQL/JavaScript and have experience with various data storage solutions such as relational data sets as well as data in formats such as JSON.
  • Identify potential risk and prepare action plans to rectify in future update patches.
  • Research new technologies and build protypes to test hypothesis.
  • To strictly adhere to all Departmental and Company Policies, Procedures and SOP’s.
  • To complete any other task or duty management may reasonably expect of you.

MINIMUM JOB REQUIREMENTS

  • Degree/National Diploma
  • Minimum 2 years relevant experience
  • Experience working in Innovation
  • Researching current and new technologies and programming solutions
  • Solid knowledge of Data Science and Programming Best practices.

SOFTWARE EXPERIENCE REQUIRED

  • Linux-Intermediate
  • Python-Intermediate
  • C/C++-Intermediate
  • TensorFlow-Intermediate
  • PyTorch-Intermediate
  • OpenCV-Intermediate

Desired Skills:

  • Linux
  • Python
  • C++

Desired Qualification Level:

  • Diploma

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