Senior Data Scientist: Predictive Modeling & Impact

Placements24; Vereeniging; On-site; ZAR 900,000 - 1,600,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Paid time off

Career growth

Job summary

Placements24 in Vereeniging, Gauteng, is seeking a Senior Data Scientist with a strong focus on predictive modeling to drive business decisions and optimize operations.

You will design, validate, and deploy sophisticated predictive models, clean and transform large datasets, and collaborate with stakeholders to translate requirements into data‑driven insights. Proficiency in Python or R and SQL is essential; Spark experience is a plus. The role is based on-site in Vereeniging.

Qualifications

• Master's or Ph.D. in Statistics, Mathematics, Computer Science, Economics, or related quantitative field.
• 5+ years of experience in data science with a significant focus on predictive modeling.
• Proficiency in Python or R and libraries such as scikit-learn, pandas, statsmodels.
• Strong understanding of statistical modeling and machine learning algorithms.
• Experience with SQL and big data platforms (Spark) is a plus.

Responsibilities

• Design, develop, and implement advanced predictive models using statistical and machine learning techniques.
• Clean, process, and transform large, complex datasets for modeling.
• Evaluate and validate model performance for accuracy and reliability.
• Deploy predictive models into production and monitor performance.
• Collaborate with business units to identify opportunities for predictive analytics.

Skills

Predictive modeling

Python or R

Data science

Statistical analysis

Communication

Education

Master's or PhD in a quantitative field

Tools

scikit-learn

pandas

statsmodels

Spark

SQL

Job description

Placements24 in Vereeniging, Gauteng, is seeking a Senior Data Scientist with a strong focus on predictive modeling to drive business decisions and optimize operations.

You will design, validate, and deploy sophisticated predictive models, clean and transform large datasets, and collaborate with stakeholders to translate requirements into data‑driven insights. Proficiency in Python or R and SQL is essential; Spark experience is a plus. The role is based on-site in Vereeniging.