Data Scientist - Hybrid BI & Predictive Analytics

Placements24; Mossel Bay; Hybrid; ZAR 600,000 - 1,100,000; Full time

Benefits offered by this job

Hybrid work arrangement

Bonuses potential

Medical and retirement plans

Continual learning opportunities

Generous PTO

Job summary

Placements24 is seeking a highly analytical Data Scientist to join its Business Intelligence team in Mossel Bay. You will uncover insights from complex datasets, build predictive models, design experiments, and deliver compelling visualizations to drive strategic decisions in a hybrid setup.

Ideal candidates hold a Master’s or PhD in a quantitative field, with 3+ years of hands‑on experience in data science or analytics, and strong Python/R and SQL skills paired with BI tool expertise.

Qualifications

• Master’s or PhD in a quantitative field.
• 3+ years of hands‑on DS experience.
• Proficient in Python or R, with Pandas/NumPy familiarity.
• Strong knowledge of statistical modeling and ML algorithms.
• Experience with SQL and BI tools; familiar with big data tech.
• Excellent communication to explain complex concepts.

Responsibilities

• Collect, clean, and preprocess large datasets for analysis and model building.
• Develop statistical models, ML algorithms, and predictive analytics solutions.
• Design and run A/B tests and experiments to evaluate initiatives.
• Create dashboards/visualizations with Tableau or Power BI for stakeholders.
• Collaborate with product, engineering, and analytics teams to define KPIs.
• Stay updated on data science advancements and best practices.

Skills

Python

R

SQL

Machine learning

Statistics

Data visualization

Education

Master's or Ph.D. in Data Science/Statistics/CS/Math

Tools

Tableau

Power BI

Big data tools

Job description

Placements24 is seeking a highly analytical Data Scientist to join its Business Intelligence team in Mossel Bay. You will uncover insights from complex datasets, build predictive models, design experiments, and deliver compelling visualizations to drive strategic decisions in a hybrid setup.

Ideal candidates hold a Master’s or PhD in a quantitative field, with 3+ years of hands‑on experience in data science or analytics, and strong Python/R and SQL skills paired with BI tool expertise.