Data Scientist - Sasol

The Data Scientist is responsible for the design, engineering, development, operationalization, and modification of data science products in accordance with sound analytical principles and standards to drive critical value-adding business decisions. He/She will work closely with Principal/Senior Data Scientists, and business technical teams to extract business insights/predictions/recommendations. He/She will apply knowledge of recent techniques and research to propose new approaches and methodologies.

He/She will lead less-complex projects and will be required to support larger projects through the guidance of the Senior and Principal Data Scientists

Recruitment Description / Key Accountabilities

• Lead/support the design, engineering, development, and modifications of Data Science products in accordance with sound analytical principles and data science standards to address business requirements.
• He/She will lead less-complex projects and will be required to support larger projects through the guidance of the Senior and Principal Data Scientists. 
• Develop a broad base of Data Science generalist knowledge and competence.
• Influence, apply and leverage best practices and ensure/maintain compliance in own area.
• Apply relevant knowledge of the Analytics Eco-System including Data Management, Data Engineering to deliver sustainable Data Science products.

• Apply Data Science knowledge including Advanced Analytics / Machine Learning / Simulation / Mathematical Modelling, as well as having good general knowledge of all areas of Data Science.
• Apply proficient Sasol value chain/s knowledge.
• Enable the extraction of meaningful business insights, predictions, recommendations by applying advanced data analysis.
• Ensure that solutions are sustainable, and adequately packaged for support handover.
• Fulfill the Data Scientist role on multiple projects that may apply Agile/Waterfall project execution
• Source, formulate and execute (manage and do) Data Science solutions for multiple digitalization projects.
• Take the latest trends and technology into consideration, to differentiate between complex problem types and modeling approaches to be used to provide solutions.
• Actively seek customers where support could be offered and proactively identify real business needs.
• Research data science & visualization trends for continuous improvement.
• Participate in the Sasol Data Science CoP sessions and share own ideas/knowledge/experience within the Data Science community.

Formal Education

• University Bachelor's Degree

Min Experience

• 5-8 years relevant years

Certification & Professional Membership

• None

Competencies

• Business Acumen: An intuitive and applicable understanding of how a company or unit makes money. Displays a thorough understanding of what drives profitability. Maintains a market-focused approach to business. Keeps an overall big picture understanding of the business and its interrelationships enabling a person to make better business decisions. The ability to make good business judgments and quick decisions in a manner that is likely to lead to a good outcome.
• Compliance: Understanding the rules, regulations, sanctions and other statutory requirements, guidelines and instructions relating to governing bodies and organizations, both internally and externally.
• Continuous Process Improvement: The methodology followed for increasing the effectiveness and/or efficiency of a business process, often through automation.
• Customer Focus: A continuing focus on the needs and requirements of customers and clients, anticipating their needs, remaining sensitive to customers while performing services for them, responsive to customer needs.
• Data Management: Knowledgeable of the theory, purpose, architecture, and design of the management, administration, and relationships of the organization's data.

• Decision Making: Ability to know when and what decisions should be made and to make several decisions simultaneously in a fast-paced, rapidly changing environment.
• Negotiating: The ability to compromise in a cooperative effort to reach mutually satisfactory conclusions and results.
• Partnership Leadership: Persuades and influences stakeholders; builds relationships and partnerships for win-win outcomes. Builds teams and creates synergies through working across boundaries.
• Relationship Management: The conscious aim to develop and manage long-term and/or trusting relationships with internal or external customers, distributors, suppliers, or other parties in an environment which can include marketing, selling, servicing, and other areas where a relationship is crucial to ongoing success. At a senior level, it includes C-level relationships with senior management such as CEO [Chief Executive Officer], CIO [Chief Information Officer], and CFO [Chief Financial Officer].
• Reporting: The ability to access information from databases, forms, and other sources, and prepare reports according to requirements.