Data Scientist - Predictive Analytics

Placements24; Mtubatuba Local Municipality; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary package

Medical and retirement benefits

Learning and development opportunities

Collaborative team environment

Hybrid work model in Richards Bay

Job summary

Placements24 seeks a data scientist specializing in predictive analytics to join our client in Richards Bay. You will build and deploy models, analyze large datasets, and translate insights into business actions.

The role requires advanced degrees, Python or R expertise, and strong communication. You will collaborate with engineering and business stakeholders, implement experiments, and stay updated on ML trends while contributing to data-driven growth.

Qualifications

• Master's degree or Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.
• Proven experience in building and deploying predictive models in a business context.
• Proficiency in Python or R, and relevant data science libraries (Pandas, Scikit-learn, TensorFlow).
• Strong understanding of statistical modeling, regression analysis, time series forecasting, and classification algorithms.
• Experience with SQL and working with large relational databases.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Develop, validate, and deploy predictive models using statistical and machine learning techniques.
• Analyze large, complex datasets to identify trends, patterns, and opportunities for business improvement.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders through visualizations and reports.
• Collaborate with engineering teams to integrate predictive models into operational systems.
• Design and implement A/B tests and other experiments to measure the impact of interventions.
• Stay current with the latest advancements in data science, machine learning, and predictive modeling.

Skills

Python

R

SQL

ML

Data Visualization

Statistical Modeling

Time Series

Communication

Education

Master’s or PhD in Statistics/Mathematics/CS

Tools

Pandas

Scikit-learn

TensorFlow

Job description

About the Role

Our client is seeking a talented and analytical Data Scientist specializing in Predictive Analytics to join their team in Richards Bay . You will play a critical role in developing sophisticated predictive models that drive business growth and operational efficiency. This position requires a strong foundation in statistical modeling, machine learning, and data visualization, combined with the ability to translate complex data insights into actionable business strategies. You will work with large datasets, collaborating with various departments to uncover trends, forecast future outcomes, and inform decision-making processes within a forward-thinking organization. The role offers a chance to make a significant impact on business performance through data-driven insights.

Key Responsibilities

• Develop, validate, and deploy predictive models using statistical and machine learning techniques.
• Analyze large, complex datasets to identify trends, patterns, and opportunities for business improvement.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders through visualizations and reports.
• Collaborate with engineering teams to integrate predictive models into operational systems.
• Design and implement A/B tests and other experiments to measure the impact of interventions.
• Stay current with the latest advancements in data science, machine learning, and predictive modeling.

Requirements

• Master's degree or Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.
• Proven experience in building and deploying predictive models in a business context.
• Proficiency in Python or R, and relevant data science libraries (e.g., Pandas, Scikit-learn, TensorFlow).
• Strong understanding of statistical modeling , regression analysis, time series forecasting, and classification algorithms.
• Experience with SQL and working with large relational databases.
• Excellent analytical, problem-solving, and communication skills.

Benefits

• Competitive salary with performance-based bonuses.
• Comprehensive medical and retirement benefits.
• Opportunities for continuous learning and professional development.
• A collaborative team environment focused on innovation and data-driven decision-making.
• Hybrid work model providing flexibility, based in Richards Bay .