1595 Data Scientist (Advanced)

Imizizi; Pretoria; Vor Ort; ZAR 420.000 - 700.000; Vollzeit

Zusammenfassung

Imizizi is seeking a Data Engineer/Scientist for a contract role in Pretoria. Candidates should have 3–5 years in data science, with experience building ML models and deploying in MLOps pipelines.

The role involves analyzing data, creating insights, and supporting business teams with low-code/no-code solutions. Responsibilities include scaling ML solutions, evaluating LLM outputs, and delivering end-to-end data solutions on AWS/Azure platforms.

Qualifikationen

• 3–5 years of experience in data science.
• Experience in developing data science solutions and ML pipelines.
• Proficient with Python and SQL and ML libraries such as SKLearn and R.
• Experience with Qlik and AWS Quicksight for reporting.
• Experience with cloud platforms and Linux/Windows environments.

Aufgaben

• Develop data science solutions and scale into MLOps pipelines.
• Implement algorithms for object detection, segmentation, classification and recognition.
• Support low code/no code solutions for business teams.
• Evaluate LLM outputs and configurations.
• Provide lifecycle development, deployment and ops support for Big Data solutions.
• Plan epics and sprints translating business needs into technical tasks.
• Discover insights using algorithmic, statistical and mining techniques.
• Interpret statistical experiments and regression results for business processes.
• Build reports using Qlik and AWS Quicksight.

Kenntnisse

Python

SQL

SKLearn

R

OpenAI

Tools

Terraform

AWS (EC2 S3 EMR)

Azure

Qlik

AWS Quicksight

Postgres RDS

VSCode/PyCharm/Jupyter

Git

Jobbeschreibung

Reference: JHB000251-NT-1

Looking for a Data Engineer / Scientist that is ready for a new challenge.
Experience: 3 – 5 years of experience in the field of Data Science.
Position: contract until December 2026.

Duties & Responsibilities

What will be your role and responsibilities?

• Develop data science solutions and integrate and scale these solutions into MLOps pipelines.
• Implement analytical algorithms for object detection, segmentation, classification, and recognition.
• Provide support on low code, no code solutions for business teams.
• Evaluate LLM output and compare LLM configurations.
• Provide complete application lifecycle development, deployment, and operations support for Big Data solutions and infrastructure.
• Manage the expectations of business product owners, ensuring that healthy synergy exists between the business and feature team.
• Plan epics and sprints, ensuring that business needs are accurately translated into technical tasks for a feature team to execute.
• Discover insights and identify business opportunities using algorithmic, statistical, and mining techniques.
• Interpret the results of statistical and predictive experiments and regression analysis, integrating this into complex business processes.
• Analyze data and build reports using data visualization tools such as Qlik and AWS Quicksight.

Essential skills required:

• Python, Terraform, SQL.
• Python, SKLearn, R, OpenAI.
• AWS, EC2, S3, EMR, Azure.
• Windows, Linux, and Unix.
• Qlik, AWS Quicksight.
• Postgres, AWS RDS.
• VSCode, Pycharm, Jupyter Notebooks, Microsoft Visual Studio.
• SVN, Git.
• ATC Confluence, JIRA, Bitbucket, GitHub, GitHub CoPilot.

If you are a motivated individual with the necessary qualifications and experience, we invite you to submit your CV. Please note that if you do not receive a response from us within 2 weeks, your application was not successful.