Senior Data Scientist - Predictive Modeling

Placements24; Vereeniging; Sur place; ZAR 900 000 - 1 600 000; Plein temps

Avantages offerts par ce poste

Health benefits

Retirement plan

Paid time off

Career growth

Résumé du poste

Placements24 in Vereeniging, Gauteng, is seeking a Senior Data Scientist with a strong focus on predictive modeling to drive business decisions and optimize operations.

You will design, validate, and deploy sophisticated predictive models, clean and transform large datasets, and collaborate with stakeholders to translate requirements into data‑driven insights. Proficiency in Python or R and SQL is essential; Spark experience is a plus. The role is based on-site in Vereeniging.

Qualifications

• Master's or Ph.D. in Statistics, Mathematics, Computer Science, Economics, or related quantitative field.
• 5+ years of experience in data science with a significant focus on predictive modeling.
• Proficiency in Python or R and libraries such as scikit-learn, pandas, statsmodels.
• Strong understanding of statistical modeling and machine learning algorithms.
• Experience with SQL and big data platforms (Spark) is a plus.

Responsabilités

• Design, develop, and implement advanced predictive models using statistical and machine learning techniques.
• Clean, process, and transform large, complex datasets for modeling.
• Evaluate and validate model performance for accuracy and reliability.
• Deploy predictive models into production and monitor performance.
• Collaborate with business units to identify opportunities for predictive analytics.

Connaissances

Predictive modeling

Python or R

Data science

Statistical analysis

Communication

Formation

Master's or PhD in a quantitative field

Outils

scikit-learn

pandas

statsmodels

Spark

SQL

Description du poste

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.