Senior Applied Data Scientist / Applied Data Scien...

Job description

Ref No: 112748

Closing Date: 29 September 2022

OME: Energy Operations

Business Unit: Energy Ops - Secunda Operations

City / Town: Secunda

Role Category: Optimisation

Short Description / Purpose of Job

Collaborate with the engineering disciplines and related fields to identify opportunities with business value that can be addressed with data science. Scope and develop appropriate data analytics solutions by combining engineering or scientific expertise with a sound knowledge of data science. Apply knowledge of recent techniques to propose new approaches and methodologies in the field of data analytics / data science.

Recruitment Description / Key Accountabilities

  • Combine engineering or scientific expertise with a sound knowledge of data science to provide advanced analytics solutions to the business.
  • Have advanced knowledge in one or more field of data science (e.g. Simulation, Mathematical Programming, Machine Learning, Statistics).
  • Maintain a broad base of Data Science generalist knowledge and competence.
  • Continuously expand data analytics and data science toolkit.
  • Maintain proficient knowledge of the Analytics Eco-System including Data Management, Data Engineering and how these integrate with Data Science.
  • Source, formulate and execute (manage and do) the Data Science solutions.
  • Leverage best practices and ensure/maintain compliance across multiple areas.
  • Analyse latest trends and technology into consideration, to differentiate between complex problem types and modelling approaches to be used to provide solutions.
  • Validate own and other's work to identify possible areas for improvement of efficiency and effectiveness.
  • Provide guidance to inexperienced team members.
  • Actively seek customers where support could be offered and proactively identify real needs of customer, especially from own domain expertise and networks.
  • Drive and lead peer review for quality management.
  • Utilise Data Science systems, tools and standards (own, local and international) in own work.
  • Investigate data analysis trends and tools available for continuous improvement.

Formal Education

  • University Bachelor's Degree in Engineering or related field

Min Experience

  • 5 - 8 relevant years


  • Analytics: The systematic computational analysis of data or statistics'
  • Business Leadership: Demonstrates commercial acumen, a global mind-set and exercises sound judgement. Achieves results through others and holds them accountable.
  • Collaboration: The action of working with someone to produce something
  • Continuous Process Improvement: The methodology followed for increasing the effectiveness and/or efficiency of a business process, often through automation.
  • Critical reasoning: The action of critically thinking about something in a logical, sensible way and taking all factors into consideration.
  • Data Management: Knowledgeable of the theory, purpose, architecture and design of the management, administration and relationships of the organization's data.
  • Partnership Leadership: Persuades and influences stakeholders; builds relationships and partnerships for win-win outcomes. Builds teams and creates synergies through working across boundaries.
  • Problem Solving: Is a step-by-step process of defining a problem, searching for information, and testing a series of solutions until the problem is solved. In involves critical thinking, analysis and persistence.
  • Self-Mastery: Takes accountability for driving own growth through developing self-awareness, reflecting, seeking feedback and self-correcting
  • Tech Savvy: Knowledge of the Information Technology Industry including trends, emerging technology, best practices, competition, regulations, and legislation

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