Data Scientist - Predictive Modeling

Placements24; Stellenbosch; Hybrid; ZAR 850,000 - 1,100,000; Full time

Benefits offered by this job

Hybrid work model

Health & retirement benefits

Professional development

Conferences & training

Advanced computing resources

Academic town environment

Job summary

Placements24 in Stellenbosch, Western Cape, SA, is seeking a Data Scientist specializing in predictive modeling. The role blends remote focus and on-site collaboration in Stellenbosch, driving data-informed decisions across the organization.

You will build and deploy predictive models using advanced statistical techniques, work with large datasets, and communicate insights to stakeholders. A master’s or PhD and strong Python/R skills are required for a hybrid work environment.

Qualifications

• Master's or Ph.D. in Statistics, Data Science, CS, Mathematics, or related quantitative field.
• Proven experience with predictive modeling.
• Proficiency in Python or R and data science libraries.
• Experience with ML algorithms: regression, classification, clustering, and time series.
• Familiarity with database technologies and SQL.
• Experience with data visualization tools.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration in a hybrid role.

Responsibilities

• Develop, test, and deploy sophisticated predictive models using ML and statistical techniques.
• Clean, process, and transform large datasets for analysis and modeling.
• Identify key variables and features that drive predictive accuracy.
• Evaluate model performance and iterate to improve accuracy and robustness.
• Collaborate with engineering and product teams to integrate models into production systems.
• Communicate findings clearly to technical and non-technical stakeholders.
• Stay current with advances in data science, ML, and predictive analytics.
• Design and conduct experiments to test hypotheses and validate model effectiveness.

Skills

Predictive modeling

Statistical analysis

Communication

Team collaboration

Education

Master's or PhD in Statistics, Data Science, CS, Mathematics

Tools

Python

R

scikit-learn

pandas

NumPy

SQL

Visualization tools

Job description

About the Role Our client, a forward-thinking innovator in AI & Emerging Technologies , is seeking a talented Data Scientist with a specialization in predictive modeling. This role is integral to extracting actionable insights from complex datasets, driving data-informed decisions across the organization. We offer a Hybrid work model, fostering a balance between focused remote work and collaborative team sessions at our Stellenbosch office. You will leverage advanced statistical techniques and machine learning algorithms to build and deploy predictive models that solve critical business problems. Join our dynamic team and contribute to groundbreaking AI initiatives from Stellenbosch, Western Cape, ZA .

Key Responsibilities

• Develop, test, and deploy sophisticated predictive models using machine learning and statistical techniques.
• Clean, process, and transform large, complex datasets to prepare them for analysis and modeling.
• Identify key variables and features that drive predictive accuracy.
• Evaluate model performance and iterate on designs to improve accuracy and robustness.
• Collaborate with engineering and product teams to integrate models into production systems.
• Communicate findings and insights clearly to both technical and non-technical stakeholders.
• Stay current with the latest advancements in data science, machine learning, and predictive analytics.
• Design and conduct experiments to test hypotheses and validate model effectiveness.

Requirements

• Master's or Ph.D. degree in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.
• Proven experience as a Data Scientist, with a strong focus on predictive modeling.
• Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., scikit-learn, pandas, NumPy).
• Experience with machine learning algorithms, including regression, classification, clustering, and time series analysis.
• Familiarity with database technologies and SQL.
• Experience with data visualization tools and techniques.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills, essential for a hybrid role.

Benefits

• Competitive salary and performance incentives.
• Comprehensive health and retirement benefits.
• Hybrid work arrangement offering flexibility.
• Opportunities for professional development, including advanced training and conferences.
• Access to powerful computing resources and diverse datasets.
• A stimulating and collaborative work environment in a vibrant academic town.