Data Scientist

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

Job summary

A data-driven company in South Africa is looking for a data analyst to build data products and glean insights for business improvement. You will be responsible for automating data collection and analyzing trends using machine-learning algorithms. The ideal candidate should have strong analytical skills and a passion for research. Collaborate with engineering and product development teams to provide strategic solutions.

Qualifications

• Strong analytical skills with experience in data analysis.
• Passion for machine learning and research.
• Ability to interpret data effectively.

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 thinking

Problem-solving skills

Mathematics

Statistics

Machine learning

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.