Job Role:
Work on a global analytics team, reporting to Europe and collaborating with people in LATAM and other countries. The main role is to do advanced analytics studies on demand from different projects of a MG Info client in the mining industry.
Key tasks:
- Perform requirements analysis of assigned projects to ensure correct mapping of requirements to solution design
- Perform data science solution development including:
- Build data processing pipelines,
- Performing exploratory data analysis,
- Performing statistical data modeling,
- Building descriptive/predictive/prescriptive models,
- Performing experimentation with testing & validation,
- Performing model optimization,
- Implement visualization dashboards
- Deliver high quality solutions to meet project requirements using state-of-the-art DA/DS/ML/AI techniques
- Implement solution using agile sprints
- Collaborate with business and technical stakeholders to deliver projects
- Implement appropriate visualization artefacts to demonstrate solution performance for project stakeholders
- Communicate project outcomes with project stakeholders through presentations & reports
Skills & Experience:
- Hands on experience in ML/AI/analytics implementation
- Industry Analytics/ML/AI project delivery experience using Agile methods
- Experience developing analytics-based solutions for ?industrial operations? problems including but not limited to condition monitoring, predictive maintenance, process modelling, and reliability will be a plus
- Knowledge &/or experience of doing Data Science work related to mining will be a plus
- Working directly with business stakeholders, data engineers, solutions architects and product managers in creating robust solutions.
- Current knowledge about ML algorithms, libraries and frameworks (evidence via coding test)
- Effective verbal and written communication
Education & Qualifications:
- Degree (Bachelor/Masters/PhD) in Computer Science and/or related technical discipline.
- Continuous learning in ML / Data Science through formal training/certification preferred
- ML Ops/ AI Ops related formal qualification and/or equivalent experience is a plus.
- Vale Refeição flexível
Vale Alimentação
Plano de Saúde Bradesco
Participação nos lucros