The selected candidate will be a team player who can also work on their own initiative. They will work in collaboration with a team on all aspects of a project. This includes data extraction, organization of the data storage, quality, reliability and analytical analysis, creation of predictive and prescriptive data models, effectivity analysis of these models.

Responsibilities:

The responsibilities include, but are not limited to:

• Identifying valuable data sources and automating collection processes

• Undertaking pre-processing of structured and unstructured data

• Analyzing large amounts of information to discover trends and patterns

• Building custom prescriptive and predictive models to address business problems using data analytics and machine learning techniques

• Evaluating the effectiveness of these models

• Combining models through ensemble modelling

• Presenting information using data visualization techniques

• Proposing solutions and strategies to business challenges

• Collaborating with engineering and product development teams

Skills and Qualifications:

The ideal candidate shall:

• Possess an MSc in Computer Science, AI, Engineering, or relevant field

• Have experience in data mining, machine-learning and data analytics

• Be knowledgeable on Python and SQL

• Have strong mathematical skills

• Have a good problem-solving aptitude

• Have excellent communication and presentation skills

• Familiarity with R, Java or C# will be considered an asset.