Data Scientist

Placements24; Benoni; On-site; ZAR 600,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Professional growth

Intellectually stimulating environment

Access to advanced analytical tools

Job summary

Placements24 is seeking an experienced Data Scientist in Benoni, Gauteng to extract insights from large datasets and build predictive models. You will leverage Python or R, apply ML techniques, and present findings to stakeholders to inform data-driven decisions.

Your work will involve data preprocessing, model development, visualization, and collaboration with business units to translate needs into data science solutions, driving impact across the organization.

Qualifications

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, Physics, or related quantitative field.
• Proven experience as a Data Scientist or similar role.
• Strong programming in Python or R with data manipulation libraries.

Responsibilities

• Collect, clean, and preprocess large/complex datasets from diverse sources.
• Apply statistical methods and ML techniques to identify trends and insights.
• Develop, train, and evaluate predictive models and algorithms.

Skills

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL

Spark

Hadoop

Education

Master's or PhD in quantitative field

Tools

Matplotlib

Seaborn

Tableau

Job description

About the Role Our client, a leading analytics firm based in **Benoni, Gauteng**, is seeking an innovative and experienced Data Scientist to join their growing team. This role is instrumental in extracting valuable insights from complex datasets, developing predictive models, and driving data-informed decision-making across the organization. You will leverage advanced statistical techniques and machine learning algorithms to solve challenging business problems. The **Benoni, Gauteng** office provides a stimulating environment for analytical minds to thrive. We are looking for a highly analytical individual with a passion for data, a strong understanding of statistical modeling, and proficiency in programming languages like Python or R. This is an exceptional opportunity to work on diverse projects, influence strategic initiatives, and contribute to cutting-edge data solutions. Join our team in **Benoni, Gauteng** and help us unlock the power of data.

Key Responsibilities

• Collect, clean, and preprocess large and complex datasets from various sources.
• Apply statistical methods and machine learning techniques to identify trends, patterns, and insights.
• Develop, train, and evaluate predictive models and algorithms.
• Build data visualizations and dashboards to communicate findings effectively to stakeholders.
• Collaborate with business units to understand their needs and translate them into data science solutions.
• Design and conduct A/B tests and other experiments to measure the impact of initiatives.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Document methodologies, findings, and model performance.
• Contribute to the development of data infrastructure and best practices.
• Present complex findings and recommendations to both technical and non-technical audiences.

Requirements

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, Physics, or a related quantitative field.
• Proven experience as a Data Scientist or in a similar role.
• Strong proficiency in programming languages commonly used in data science, such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) or R.
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Proficiency in SQL and experience working with relational databases.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex concepts clearly.
• Ability to work independently and as part of a collaborative team.

Benefits

• Competitive salary and performance-based incentives.
• Opportunity to work on challenging and impactful data projects.
• Professional growth and development opportunities within the analytics field.
• A collaborative and intellectually stimulating environment in **Benoni, Gauteng**.
• Contribution to data-driven decision-making across the organization.
• Standard employee benefits package.
• Access to advanced analytical tools and resources.