Data Scientist - Predictive Analytics

Placements24; Kempton Park; On-site; ZAR 700,000 - 1,100,000; Full time

Job summary

Placements24 is seeking a Data Scientist specializing in Predictive Analytics to join our client’s team in Gauteng. The role focuses on building advanced models that forecast trends and guide strategic decisions, handling large datasets with modern statistical and machine learning techniques.

You will collaborate with business stakeholders, design experiments, and visualize insights for both technical and non-technical audiences, while maintaining model performance and exploring new data sources.

Qualifications

• Master's or PhD in statistics, mathematics, computer science, data science, or related quantitative field.
• Minimum of 3 years of experience in data science, with focus on predictive modeling and statistical analysis.
• Proficiency in Python or R, and libraries like Pandas, NumPy, scikit-learn.
• Strong understanding of ML algorithms (regression, classification, clustering, time series).
• Experience with SQL for data querying and extraction.
• Excellent data visualization skills (Matplotlib, Seaborn, Tableau).
• Strong communication and presentation skills; able to translate results for non-technical audiences.
• Ability to work independently and in teams in a fast-paced environment.
• Experience with cloud platforms is a plus.

Responsibilities

• Develop and implement predictive models using various statistical and ML techniques.
• Clean, process, and analyze large datasets to identify trends and patterns.
• Collaborate with business stakeholders to translate needs into data science problems.
• Design and conduct experiments to test hypotheses and validate model performance.
• Visualize and communicate findings to technical and non-technical audiences.
• Monitor and maintain performance of deployed predictive models.
• Explore new data sources and analytical methodologies to enhance predictive capabilities.
• Contribute to data governance and best practices within the team.

Skills

Predictive modeling

Data analysis

Python

R

SQL

Data visualization

Communication

Teamwork

Education

Master's/PhD in quantitative field

Tools

Pandas

NumPy

scikit-learn

Tableau

Matplotlib

Seaborn

Job description

About the Role

Our client, a leading innovator in the AI & Emerging Technologies space, is seeking a talented Data Scientist specializing in Predictive Analytics to join their operations in Tembisa, Gauteng . This role is crucial for developing sophisticated models that forecast future trends and inform strategic business decisions. You will work with vast datasets, leveraging advanced statistical techniques and machine learning to uncover patterns and predict outcomes. The ideal candidate is a curious and analytical thinker with a passion for deriving insights from data and translating them into tangible business value. This is an exciting opportunity to contribute to impactful projects within a forward-thinking organization that values data-driven innovation.

Key Responsibilities

• Develop and implement predictive models using various statistical and machine learning techniques.
• Clean, process, and analyze large, complex datasets to identify trends and patterns.
• Collaborate with business stakeholders to understand their needs and translate them into data science problems.
• Design and conduct experiments to test hypotheses and validate model performance.
• Visualize and communicate findings and insights to both technical and non-technical audiences.
• Monitor and maintain the performance of deployed predictive models.
• Explore new data sources and analytical methodologies to enhance predictive capabilities.
• Contribute to the development of data governance and best practices within the team.

Requirements

• Master's or PhD degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
• Minimum of 3 years of experience in data science, with a focus on predictive modeling and statistical analysis.
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
• Strong understanding of machine learning algorithms (regression, classification, clustering, time series analysis).
• Experience with SQL for database querying and data extraction.
• Excellent data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
• Strong communication and presentation skills, with the ability to articulate complex results clearly.
• Ability to work independently and as part of a team in a fast-paced environment.
• Experience with cloud platforms is a plus.

Benefits

• This position offers a highly competitive salary, a comprehensive benefits package including medical and retirement plans, and significant opportunities for professional growth.
• Employees enjoy a supportive work environment, access to advanced analytical tools, and the chance to work on challenging projects.
• Our client is committed to fostering a culture of innovation and provides resources for continuous learning.