Data Scientist

Placements24; Vereeniging; Hybrid; ZAR 600,000 - 1,000,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work arrangement

Healthcare coverage

Retirement planning options

Professional development

Job summary

Placements24 is seeking a talented Data Scientist in Vereeniging to apply advanced statistical methods and ML techniques on large datasets. You will drive data-informed decision-making in a hybrid work setting, building predictive models and communicating findings to stakeholders.

The role requires a master's or PhD in a quantitative field and 3+ years of experience, with strong Python or R skills, SQL, and data visualization expertise. Collaboration across business units is essential.

Qualifications

• Master's or PhD in a quantitative field such as Statistics, Computer Science, Mathematics, or Physics.
• 3+ years of experience in data science, machine learning, or a related analytical role.
• Proficiency in Python or R and libraries such as scikit-learn, TensorFlow, or PyTorch.
• Strong experience with SQL for data extraction and manipulation.
• Experience with data visualization tools (Tableau, Power BI, Matplotlib).
• Excellent communication and presentation skills, with ability to explain complex concepts clearly.

Responsibilities

• Develop and implement statistical models and ML algorithms to analyze large datasets.
• Design and execute A/B tests and other experiments to validate hypotheses.
• Clean, transform, and preprocess data to ensure accuracy and readiness for analysis.
• Visualize data and present findings to technical and non-technical audiences.
• Collaborate with business units to identify opportunities for data-driven improvements.
• Stay updated on latest advances in data science, ML, and AI.

Skills

Statistical modeling

Machine learning

Data analysis

A/B testing

Communication

Data preprocessing

Education

Master's or PhD in statistics, CS, math, or physics

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

SQL

Tableau

Power BI

Matplotlib

Job description

About the Role

Our client is seeking a talented and analytical Data Scientist to join their innovative team in Vereeniging . This hybrid role offers the opportunity to leverage cutting-edge statistical and machine learning techniques to extract valuable insights from complex datasets. You will play a crucial role in driving data-informed decision-making across the organization, working on challenging problems that impact business strategy. This position is ideal for a candidate passionate about uncovering patterns, building predictive models, and communicating findings effectively to stakeholders.

Key Responsibilities

• Develop and implement statistical models and machine learning algorithms to analyze large datasets.
• Design and execute A/B tests and other experiments to validate hypotheses.
• Clean, transform, and preprocess data to ensure accuracy and readiness for analysis.
• Visualize data and present findings and insights to technical and non-technical audiences.
• Collaborate with business units to identify key opportunities for data-driven improvements.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.

Requirements

• Master's or PhD degree in a quantitative field such as Statistics, Computer Science, Mathematics, or Physics.
• 3+ years of experience in data science, machine learning, or a related analytical role.
• Proficiency in programming languages like Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL for data extraction and manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent communication and presentation skills, with the ability to explain complex concepts clearly.

Benefits

• Competitive annual salary with performance incentives.
• Hybrid work arrangement offering flexibility.
• Comprehensive healthcare coverage and retirement planning options.
• Continuous learning opportunities and support for professional development.
• A data-centric culture that values curiosity and innovation.