Data Scientist – IT-Online

Main Responsibilities –

Perform requirements analysis of assigned projects to ensure proper mapping of requirements to solution design
Carry out the development of data science solutions, including:
Perform exploratory data analysis,
Carry out statistical modeling of the data,
Build descriptive/predictive/prescriptive models,
Experimentation with tests and validation,
Running Model Optimization
Provide high quality solutions to meet project requirements using state of the art DA/DS/ML/AI techniques
Implement the solution using agile sprints
Collaborate with business and technical stakeholders to deliver projects
Implement appropriate visualization artifacts to demonstrate solution performance to project stakeholders
Communicate project results to project stakeholders through presentations and reports

Skills and experience –

Knowledge of the mining value chain is required. Must be familiar with mining, geoscience and mining systems.
A good understanding of ore processing in the context of mining and associated data analysis challenges is required
Prior practical experience in one of the following areas is required:
Analysis of sensor data
Spectral data analysis (hyperspectral image analysis, etc.)
Signal data processing (infrared, imaging, etc.)
Hands-on experience implementing ML/IA/analytics
Experience delivering Industrial Analytics/ML/AI projects using Agile methods
Experience building production DS solutions, including deploying APIs using the cloud
Work directly with business stakeholders, data engineers, solution architects, and product managers to build robust solutions.
Current knowledge of ML algorithms, libraries and frameworks (should be demonstrable via coding test in Python languages etc.)
Effective verbal and written communication