Data Scientist

AiR; Stellenbosch; On-site; ZAR 500 000 - 700 000; Full time

Job summary

A leading analytics firm in Stellenbosch is seeking a Data Scientist to help build the next generation of intelligence analysis tools. You will develop statistical models to extract insights from massive datasets and collaborate with product and engineering teams on analytical workflows. The ideal candidate has over 3 years of experience in data science or applied analytics, strong Python skills (with libraries like Pandas, NumPy, and Scikit-learn), and experience with SQL. Join a team focused on high-impact problems!

Benefits

Opportunity to become a domain expert

Work on high-impact problems

Collaborate with innovative teams

Qualifications

• 3+ years in data science or applied analytics.
• Strong Python skills with libraries like Pandas, NumPy, Scikit-learn.
• Experience with SQL and large-scale data warehousing.

Responsibilities

• Develop statistical models to uncover insights from complex data.
• Design and implement analytical workflows for intelligence use cases.
• Translate analytical questions into reproducible experiments.

Skills

Data science

Applied analytics

Python

SQL

Statistics

Analytical workflows

Tools

Pandas

NumPy

Scikit-learn

Job description

Role Overview -

Help us build the next generation of intelligence analysis tools, extracting critical insights from massive datasets to support global analysts and decision-makers.

What We're Looking For

• 3+ years in data science or applied analytics
• Strong Python skills with libraries like Pandas, NumPy, Scikit-learn
• Experience with SQL and large-scale data warehousing
• Solid understanding of statistics, modeling, and experimental design
• Ability to build reproducible analytical workflows
• Experience collaborating with engineers to productionize analytics

What You'll Do

• Develop statistical models to uncover insights from complex data
• Design and implement analytical workflows for intelligence use cases
• Translate analytical questions into reproducible experiments
• Collaborate with product and engineering teams on new opportunities

Why You'll Love It

• Work on high-impact problems with global reach
• Opportunity to become a domain expert in intelligence analysis
• Collaborate with a dedicated team focused on innovation