Senior Data Scientist: Predictive Analytics (Hybrid)

Placements24; Benoni; Hybrid; ZAR 1,100,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Annual bonus potential

Health, dental, vision insurance

Retirement plan with company match

Hybrid work arrangement

Conferences and training

Stock options

Wellness programs

Generous PTO

Job summary

Placements24 in Benoni, South Africa, seeks a Senior Data Scientist to lead predictive analytics initiatives. You will design, develop, and deploy advanced models, analyze large datasets, and translate insights into business strategy.

The role offers a hybrid work model with collaboration across data teams. The ideal candidate holds a PhD or Master’s in a quantitative field, 5+ years of experience in predictive modeling, and strong Python or R skills with ML libraries.

Qualifications

• Ph.D. or Master's in a quantitative field.
• 5+ years as a Data Scientist, focused on predictive modeling.
• Proficient in Python or R and libraries such as scikit-learn, TensorFlow, PyTorch, pandas.
• Experience with Spark/Hadoop and SQL.
• Knowledge of ML algorithms and data visualization tools.

Responsibilities

• Design, build, and deploy advanced predictive models.
• Analyze large, complex datasets from diverse sources.
• Collaborate with/business stakeholders to translate needs into data solutions.
• Clean and transform data for modeling.
• Evaluate models, tune hyperparameters, and ensure robustness.
• Deploy models to production and monitor performance.
• Communicate insights through clear visuals and narratives.
• Mentor junior data scientists and help set best practices.
• Contribute to overall data strategy and architecture.

Skills

Problem solving

Analytical thinking

Communication

Education

Ph.D./Master's in quantitative field

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

pandas

Spark

Hadoop

Tableau

Power BI

SQL

Job description

Placements24 in Benoni, South Africa, seeks a Senior Data Scientist to lead predictive analytics initiatives. You will design, develop, and deploy advanced models, analyze large datasets, and translate insights into business strategy.

The role offers a hybrid work model with collaboration across data teams. The ideal candidate holds a PhD or Master’s in a quantitative field, 5+ years of experience in predictive modeling, and strong Python or R skills with ML libraries.