Remote Predictive Modeling Scientist — ML & Forecasting

Placements24; Gqeberha; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Health insurance

Retirement planning

Paid time off

Remote work flexibility

Professional development opportunities

Job summary

Placements24 seeks a Data Scientist to lead predictive modeling and analytics initiatives. You will work with large, complex datasets, deploying models that inform business decisions and forecast trends.

The role blends remote work with frequent interaction with the Port Elizabeth operations. Ideal candidates have advanced degrees in quantitative fields and strong Python or R skills, plus experience in data pipelines and production deployment.

Qualifications

• Master's or PhD in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Proven experience in developing and deploying predictive models in a business context.
• Strong proficiency in Python or R, including libraries like scikit-learn, pandas, TensorFlow, Keras.
• Solid understanding of statistical modelling, ML algorithms, and data mining techniques.
• Experience with SQL and relational databases.
• Familiarity with big data technologies (Spark, Hadoop) is a plus.
• Excellent problem-solving and communication skills, especially for remote work.

Responsibilities

• Develop, train, and evaluate predictive models using ML and statistics.
• Clean, transform, and analyze large datasets from various sources.
• Identify drivers and patterns to inform forecasting and strategy.
• Translate business requirements into DS problems and solutions.
• Communicate findings to technical and non-technical audiences.

Skills

Analytical mindset

Remote collaboration

Independent work

Education

Master's or PhD in Statistics/Mathematics/CS/Economics

Tools

Python

R

SQL

Spark

Hadoop

Job description

Placements24 seeks a Data Scientist to lead predictive modeling and analytics initiatives. You will work with large, complex datasets, deploying models that inform business decisions and forecast trends.

The role blends remote work with frequent interaction with the Port Elizabeth operations. Ideal candidates have advanced degrees in quantitative fields and strong Python or R skills, plus experience in data pipelines and production deployment.