Data Scientist

Houston, United States

Sasol

Sasol is a global chemicals and energy company. We are a public company listed on the Johannesburg Stock Exchange in South Africa and the New York Stock Exchange in the United States.

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A job at Sasol is a career made by you, with purpose, development opportunities, benefits to support every stage of life and a working culture that embraces flexibility, diversity, and inclusion. Learn more.

 

Purpose of Job

The Data Scientist is pivotal in driving digital transformation initiatives within the Chemicals sector. This role involves leveraging advanced data-driven techniques to boost business performance and foster innovation. With expertise in statistical modeling, machine learning, data analytics, data engineering, and full-stack dashboard development, the Data Scientist tackles complex challenges and develops tools that enhance decision-making processes. Additionally, they promote a culture of continuous learning and collaboration within the data science team, the digital transformation team, and Sasol Chemicals. The role requires self-organization within a project team, prioritizing the work of junior peers, and providing direction for tech stack and tool development with very little supervision.

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.
  • Participate in data integrity and accuracy initiatives by implementing robust data governance and quality control measures.
  • Communicate complex technical concepts to non-technical stakeholders, translating data insights into actionable business strategies.
  • Assist in the implementation of scalable and sustainable data infrastructure in collaboration with IT and other relevant departments.
  • Upskill direct colleagues and prioritize the work of junior peers, providing guidance on the tech stack and tool development.
  • Engage in self-organized working within project teams, requiring very little supervision.

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 • Fluency in English is essential. • Ability to prioritize the work of junior peers, provide guidance on tech stack and tool development, and upskill direct colleagues. • 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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Azure CX Data Analytics Data governance DevOps Django Docker Economics Engineering Git Kubernetes Machine Learning Model design Python React SQL Statistical modeling Statistics STEM

Perks/benefits: Career development

Region: North America
Country: United States

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