Senior Data Scientist - Predictive Modeling

Placements24; Gauteng; On-site; ZAR 1,000,000 - 1,800,000; Full time

Job summary

Placements24 in Vereeniging, Gauteng, seeks a Senior Data Scientist with a strong predictive modeling focus to join the analytics team. You will design, validate, and deploy sophisticated models across large datasets, collaborating with business units to drive data-driven decisions.

You will mentor junior data scientists and stay at the cutting edge of ML techniques, continuously improving modeling processes and documentation.

Qualifications

• Master's or Ph.D. in a quantitative field.
• 5+ years of experience in data science with a focus on predictive modeling.
• Proficiency in Python or R and data manipulation libraries (e.g., scikit-learn, pandas, statsmodels).
• Strong understanding of statistical modeling and ML algorithms (regression, classification, clustering, time series).
• Experience with SQL and big data platforms (Spark) is a plus.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, and implement advanced predictive models.
• Clean, process, and transform large datasets for modeling.
• Evaluate and validate model performance for accuracy and reliability.
• Deploy predictive models to production environments and monitor performance.
• Collaborate with business units to identify opportunities for predictive analytics.
• Communicate complex findings clearly to technical and non-technical audiences.
• Stay current with advances in data science and predictive modeling.
• Mentor junior data scientists and contribute to the knowledge base.
• Develop and maintain documentation for models and analysis processes.

Skills

Python

R

Statistical modeling

Machine learning

SQL

Spark

Data wrangling

Communication

Education

Master's degree

PhD

Tools

scikit-learn

pandas

statsmodels

Spark

Job description

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Senior Data Scientist - Predictive Modeling

1975, Gauteng Placements24

Posted today

Job Description

full-time

About the Role

Our client is a dynamic organization seeking a Senior Data Scientist with a strong focus on predictive modeling to join their expanding analytics team. This role is central to leveraging data to drive business decisions, optimize operations, and uncover new opportunities. You will be responsible for developing, validating, and deploying sophisticated predictive models, working with large and complex datasets. This is an exciting opportunity to apply advanced statistical techniques and machine learning algorithms in a challenging and rewarding environment based in **Vereeniging, Gauteng, ZA**. You will collaborate closely with business stakeholders to understand their needs and translate them into actionable data-driven insights.

Key Responsibilities

• Design, develop, and implement advanced predictive models using statistical and machine learning techniques.
• Clean, process, and transform large, complex datasets to prepare them for modeling.
• Evaluate and validate model performance, ensuring accuracy and reliability.
• Deploy predictive models into production environments and monitor their ongoing performance.
• Collaborate with business units to identify opportunities for predictive analytics and data-driven decision-making.
• Communicate complex findings and recommendations clearly to technical and non-technical audiences.
• Stay current with the latest advancements in data science, machine learning, and predictive modeling.
• Mentor junior data scientists and contribute to the team's knowledge base.
• Develop and maintain documentation for models and analysis processes.

Requirements

• Master's or Ph.D. in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• 5+ years of experience in data science, with a significant focus on predictive modeling.
• Proficiency in Python or R, and experience with data manipulation and modeling libraries (e.g., scikit-learn, pandas, statsmodels).
• Strong understanding of statistical modeling, machine learning algorithms (regression, classification, clustering, time series analysis).
• Experience with database technologies (SQL) and big data platforms (e.g., Spark) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex concepts simply.
• Experience in the **Vereeniging, Gauteng, ZA** region is beneficial but not required.

Benefits

Our client provides a competitive salary, comprehensive health and retirement benefits, and numerous opportunities for professional growth and development. You will work in a collaborative and innovative environment, gaining exposure to diverse datasets and challenging business problems. We offer a supportive culture, ample paid time off, and the chance to make a tangible impact on business outcomes. This is an excellent career opportunity for an ambitious data scientist.

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