Data Scientist

Bluespec Holdings; Gauteng; On-site; ZAR 400 000 - 500 000; Full time

Job summary

A data solutions provider in Gauteng is seeking a data analyst to build data products and extract valuable business insights. The ideal candidate should possess strong analytical skills, a passion for machine learning, and the ability to collaborate with engineering and product teams. Responsibilities include automating data collection, analyzing trends, and building predictive models.

Qualifications

• Proficient in analyzing trends and patterns from data sets.
• Strong background in statistics and mathematics.
• Experience with machine learning and data visualization techniques.

Responsibilities

• Identify valuable data sources and automate collection processes.
• Undertake pre-processing of structured and unstructured data.
• Analyse large amounts of information to discover trends and patterns.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modelling.
• Present information using data visualization techniques.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.

Skills

Analytical skills

Problem-solving

Mathematics

Statistics

Machine learning passion

Job description

Job Functions

Build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Job Responsibilities

• Identify valuable data sources and automate collection processes.
• Undertake pre-processing of structured and unstructured data.
• Analyse large amounts of information to discover trends and patterns.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modelling.
• Present information using data visualization techniques.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.