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Purpose of Job
As a Data Scientist at Sasol, you will drive digital transformation initiatives for Sasol’s global Chemicals business. In this role, you will leverage advanced data-driven techniques to enhance business performance. With your expertise in data analytics, machine learning, natural language processing, data engineering, and full-stack development, you will tackle complex challenges originating from various internal stakeholders, including those in finance, operations, R&D, and planning. You will develop tools that enhance decision-making processes and automate workflows for our internal colleagues and external customers. You will promote a culture of openness, continuous learning, and collaboration within the Digital Transformation group and Sasol’s Chemicals division.
Key Accountabilities
- Design, develop, and implement data-driven solutions using advanced statistical modeling, machine learning, and data analytics techniques.
- Contribute to data science projects, ensuring timely and high-quality delivery of initiatives that improve business performance, customer experience, and operational efficiency.
- Provide technical expertise in data science, promoting best practices and methodologies within the team.
- Stay updated with the latest technological advancements and industry trends in data science, incorporating them into your work to maintain a cutting-edge approach.
- Collaborate with cross-functional teams to ensure data science solutions align with business goals and objectives.
- Assist in the implementation of scalable and sustainable data infrastructure in collaboration with IT and other relevant departments.
- Engage in peer coaching to elevate the skills of colleagues and oversee the work of junior team members, offering direction on the technology stack and development of tools.
Formal Education
- University Bachelors Degree in Business, Economics, STEM or related field
Working Experience
- 5+ years relevant years’ experience
- Demonstrated experience in data science, including statistical modelling, machine learning, and data analytics.
- A track record of contributing to impactful data science projects within a corporate environment.
Required Personal/Professional Skills
• In-depth knowledge of statistics, mathematical optimization, and machine learning techniques. • Proficiency in DevOps principles, MVC-based application development (Django, React, Python, SQL), and app deployment and hosting (Git, Docker, Kubernetes, Azure). • Advanced expertise in Python, SQL, and data model design. • Strong analytical abilities with a talent for solving complex problems while considering broader perspectives. • Solution-oriented and proactive, with a strong personal drive to achieve and exceed goals. • Excellent communication skills, capable of translating technical jargon for non-technical stakeholders. Ability to discus and explain data science concepts, techniques, and technology to the broader audience • Proficiency in English is vital. • Experience in working in cross-functional teams and collaborating with diverse stakeholder groups. • Experience in fostering a culture of innovation and continuous improvement is beneficial.
Sasol (USA) Corporation is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to race, color, religion, creed, age, sex, sexual orientation, gender identity, pregnancy, national origin, disability or protected veteran status, as well as any other characteristic protected by applicable law, regulation or local ordinance. For more information about your rights under the law, see http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf
Sasol treats work-authorized job applicants equally in recruiting and hiring without regard to their citizenship status or national origin unless required by law, regulation, executive order, government contract, or determination by the Attorney General. Please note Sasol will not sponsor, obtain, and/or petition for temporary visa status (for example, E, F-1, H-1, H-2, L, B, J, or TN) for candidates for this position and/or personnel hired for this position.