Senior Data Scientist - Hybrid, Mentorship & Impact

Placements24; Durban; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Bonuses

Medical aid

Retirement benefits

Generous annual leave

Professional development

Hybrid work model

State-of-the-art analytics tools

Team events

Job summary

Placements24 is recruiting a Senior Data Scientist for a prominent analytics firm in Durban. The role is hybrid, blending in-office collaboration with remote flexibility to drive advanced analytics across business units.

You will lead modeling efforts, mentor junior data scientists, and translate complex findings into actionable recommendations for stakeholders. Strong Python or R, ML libraries, and data pipeline collaboration are essential.

Qualifications

• Master's or PhD in a quantitative field.
• 5+ years in data science or related analytics role.
• Proficiency in Python or R with ML libraries.

Responsibilities

• Develop and implement advanced statistical models and ML algorithms.
• Extract, clean, and transform large datasets.
• Conduct exploratory data analysis to identify trends.
• Build and deploy predictive models for forecasting and classification.
• Communicate findings clearly to technical and non-technical stakeholders.
• Design and execute A/B tests to validate hypotheses.
• Collaborate with data engineers to build robust data pipelines.
• Stay up-to-date with ML advancements and mentor junior data scientists.

Skills

Python

R

scikit-learn

pandas

NumPy

TensorFlow

PyTorch

SQL

Data viz

Big data

Spark

Hadoop

Communication

Mentoring

Education

Master's or PhD

Tools

Tableau

Matplotlib

Seaborn

Job description

Placements24 is recruiting a Senior Data Scientist for a prominent analytics firm in Durban. The role is hybrid, blending in-office collaboration with remote flexibility to drive advanced analytics across business units.

You will lead modeling efforts, mentor junior data scientists, and translate complex findings into actionable recommendations for stakeholders. Strong Python or R, ML libraries, and data pipeline collaboration are essential.