Senior Data Scientist - R&D Analytics & Innovation (Hybrid)

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

Benefits offered by this job

Competitive salary

Health, disability, and life insurance

Hybrid work model

Professional development

Job summary

Placements24 is seeking a Senior Data Scientist for our client in Vereeniging to join an innovative R&D analytics team. You will design models, run experiments, and translate insights for both technical and non-technical stakeholders.

You will work with Python/R, SQL, and big data technologies to develop predictive models and dashboards, collaborating with researchers and engineers to define KPIs and analytics needs. Stay ahead of advances in data science.

Qualifications

• Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
• 5+ years of professional Data Scientist experience in R&D or scientific applications.
• Proficiency in Python or R and data manipulation libraries.
• Strong knowledge of machine learning, statistical modeling, and experimental design.
• Experience with SQL and big data technologies.
• Excellent communication and presentation skills.

Responsibilities

• Design and implement statistical models and ML algorithms for R&D data analysis.
• Extract, clean, and transform large datasets from diverse research sources.
• Develop predictive models to identify trends, opportunities, and risks.
• Collaborate with researchers and engineers to define KPIs and analytics needs.
• Create data visualizations and dashboards to communicate findings.
• Stay current with advances in data science and related domains.

Skills

Python

R

SQL

Data manipulation

Communication

Education

Master's or PhD in Data Science/Statistics/CS

Job description

Placements24 is seeking a Senior Data Scientist for our client in Vereeniging to join an innovative R&D analytics team. You will design models, run experiments, and translate insights for both technical and non-technical stakeholders.

You will work with Python/R, SQL, and big data technologies to develop predictive models and dashboards, collaborating with researchers and engineers to define KPIs and analytics needs. Stay ahead of advances in data science.