Process Data Science Services Engineer

ENVIRONMENT:

A distinguished South African company specializing in Industrial Internet of Things (IoT) technologies, dedicated to leveraging AI-driven solutions for optimizing digital productivity, workplace safety, and employee welfare, is actively seeking a Process Data Science Services Engineer stationed at their Head Office in Somerset West. The ideal candidate should possess hands-on operational expertise in Concentrator operations, adept at utilizing software tools for troubleshooting process issues, and committed to proposing interventions that generate tangible value for end-users. Requirements include a B. Eng Degree in Chemical Engineering or Metallurgy, a minimum of 4 years' experience working directly within concentrator plant operations as a Metallurgist, and proficiency in implementing Advanced Analytics, Modeling, and Process Control within the Minerals Processing sector, particularly focusing on concentrators.

DUTIES:

1. Providing structured, frequent guidance to the Product Manager and the Process Analytic Development that increases the usability and value of the packaged analytics for internal and external users.
2. Providing expert service and advice to end users, by harnessing appropriate software, to clearly formulate the problem to be solved, convert data to prepared & contextualized data, to insights, to actions, to implemented actions and to quantified value.
3. Contributing to the internal team with minerals processing domain knowledge and its associated operational context to turn the Company’s Level 3 analytics into a world-class offering. This will include training fellow process data scientists to map insights to actionable advisories in Minerals Processing.

REQUIREMENTS:

Minimum Requirements:

1. B. Eng Degree in Chemical Engineering or Metallurgy.

Desired Requirements:

1. 4+ years of on-site concentrator plant experience as a Metallurgist.
2. Experience in applying Advanced Analytics, Modeling and Process Control in the Minerals Processing industry with a focus on concentrators.
3. Proficient in using appropriate software platforms for exploratory data analysis.
4. Technical proposal, report writing and client presentation experience.
5. Intermediate in data analysis tools (e.g. Python).

ATTRIBUTES:

1. Proficiency with data analysis.
2. Comfortable to work with data science software tools.
3. The ability to modify if not create Python scripts for Process Analytics.
4. Growth mindset with the ability to learn from the Company’s Process Data Science Team to apply increasingly powerful and sophisticated machine learning techniques.
5. Ability to work well in a team environment, collaborate with diverse team members, and foster effective teamwork.
6. Flexibility to adapt to changing project requirements, priorities, and timelines while maintaining efficiency and effectiveness.
7. High attention to detail.
8. Strong problem solving and analytical skills.