Senior Specialist, Data Base & Data Mart II
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Key skills for this role
About the Role
Maaden is seeking a Senior Specialist to support the Principal Engineer in driving AI-ML use cases and in-house applications. The role requires 5-10 years of experience in data science and AI-ML, with a focus on innovation in the extractive industry.
Key Skills for This Role
Responsibilities
- Collaborate with the Principal Engineer to identify and evaluate AI ML use cases for enhancing process efficiency
- Assist in developing and implementing novel data science and AI applications, including AI advisory modelling, ML algorithms, and AI based ESG and safety dashboards
- Conduct technical research to explore potential AI ML applications and stay updated with emerging trends
- Contribute to the development of testing and validation protocols for new technologies
- Collaborate with the Principal Engineer to establish best practices, standards, policies, and procedures for AI and data science applications
- Stay updated with industry best practices and advancements in data science and AI
Requirements
- Bachelor's degree in computer engineering, IT Engineering, Software Engineering, or a related field
- 5 10 years of experience in data science and AI ML technologies
- Experience in the extractive industry
- Problem solving capability
- Fast learner, adaptable to change
- Critical thinking and analytical skills
Full Job Posting
Job Purpose
- Role is to support the Principal Engineer in driving the implementation of technology use cases, vendor discussions, and in house AI ML applications on internal use cases.
- Utilize expertise in data science and artificial intelligence to contribute to the development and deployment of innovative solutions across the organization.
Key Accountabilities
- Collaborate with the Principal Engineer to identify and evaluate AI ML use cases for enhancing process efficiency and reducing reliance on conventional technologies.
- Assist in developing and implementing novel data science and AI applications, including AI advisory modelling, ML algorithms, and AI based ESG and safety dashboards.
- Conduct technical research to explore potential AI ML applications and stay updated with emerging trends and advancements in the field.
- Contribute to the development of testing and validation protocols to ensure successful implementation of new technologies.
- Collaborate with the Principal Engineer to establish best practices, standards, policies, and procedures for the adoption of novel AI and data science applications.
- Stay updated with industry best practices and advancements in data science and artificial intelligence and share knowledge with the team.
Qualifications & Experience
- Bachelor's degree in computer engineering, IT Engineering, Software Engineering, or a related field
- 5 10 years of experience in data science and AI ML technologies, with a focus on driving innovation and efficiency improvements in the extractive industry.
Skills
- Problem solving capability.
- Fast learner, adaptable to change to work in an agile environment.
- Demonstrated skills in mastering new knowledge and its applications.
- Demonstrated ability to see underlying concepts and patterns in complex situations and their application to business decisions.
- Work well in a cross functional, strongly matrixed environment.
- Critical thinking capabilities, analytical skills, action orientation
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