Job: Graduate: Data Scientist

Company : Teraco Data Environments; Gauteng; On-site; ZAR 350,000 - 550,000; Full time

Job summary

The Graduate Data Scientist at Teraco Data Environments will contribute to data engineering, AI, and BI capabilities, delivering data-driven insights. You will work on building pipelines, ML models, and visualisations to support decision-making.

Ideal candidates have a degree in data science or related field, with Python/R experience, SQL knowledge, and a solid grasp of data engineering principles. Join a fast-growing environment in Gauteng, South Africa.

Qualifications

• Degree in data science, statistics, computer science, or related field.
• Experience with data analysis and ML models using Python or R.
• Proficiency in Python or similar programming languages and SQL knowledge.
• Understanding of data engineering concepts and data pipelines.

Responsibilities

• Data Engineering: Design and build data pipelines to support data use.
• Maintain data quality processes, monitoring, and resolution.
• Incorporate best practices for managing high-volume, high-velocity, high-variety data.
• Artificial Intelligence: Build AI models and manage lifecycle using MLOps practices.
• Handle tasks like data preparation, model training, feature selection, evaluation, deployment, monitoring, and maintenance.
• Business Intelligence: Deliver actionable insights from data and create insightful data visualisations.

Job description

The Graduate Data Scientist will deliver value by enhancing and supporting Teraco’s data and analytics capabilities. This includes working on data engineering, artificial intelligence, and business intelligence to ensure data-driven insights and effective solutions.

Responsibilities

• Data Engineering:Design and build data pipelines to support data use
• Maintain data quality processes, monitoring, and resolution
• Incorporate best practices for managing high-volume, high-velocity, high-variety data
• Artificial Intelligence:Build AI models and manage their lifecycle using MLOps practices
• Handle tasks like data preparation, model training, feature selection, evaluation, deployment, monitoring, and maintenance
• Business Intelligence:Deliver actionable insights from data
• Create insightful data visualisations to effectively communicate findings

Qualifications

• Degree in Data Science, Statistics, Computer Science, or a related field
• Experience with data analysis and machine learning models using tools like Python or R
• Proficiency in Python (preferred) or similar programming languages
• Knowledge of database querying using SQL
• Understanding of data engineering concepts
• Familiarity with machine learning concepts and algorithms