Data Scientist

Placements24; Richards Bay; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Salary & bonus

Health insurance

PTO

Learning & development

Remote environment

Challenging projects

Job summary

Placements24 is looking for a talented Data Scientist to join a remote-first data team. You will leverage statistical analysis, ML, and data visualization to extract actionable insights from complex datasets and support strategic decision-making.

The role emphasizes collaboration with business stakeholders, experimentation with A/B tests, and deployment of models into production environments, all within a fully remote setting that supports continuous learning.

Qualifications

• Master's or Ph.D. in a quantitative field such as CS, Statistics, Mathematics, or Physics.
• Proven experience as a Data Scientist or in a similar analytical role.
• Strong proficiency in Python or R and libraries such as pandas, scikit-learn, TensorFlow.
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with SQL and working with large-scale datasets.
• Excellent communication and presentation skills, effective in a fully remote setting.

Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and insights relevant to business objectives.
• Develop, train, and deploy machine learning models for prediction, classification, and clustering.
• Design and conduct A/B tests and other experiments to evaluate product features and business strategies.
• Create compelling data visualizations and reports to communicate findings to technical and non-technical audiences.
• Collaborate with engineering teams to integrate data science models into production systems.
• Stay abreast of the latest advancements in data science, machine learning, and AI.

Skills

Python

R

Pandas/Scikit-learn

TensorFlow

Statistics & ML

Communication skills

Education

Master's or PhD in quantitative field

Tools

SQL

Data visualization tools

Job description

About the Role

Our client is seeking a talented and analytical Data Scientist to join their innovative, remote-first data team. In this role, you will leverage your expertise in statistical analysis, machine learning, and data visualization to extract actionable insights from complex datasets. You will work closely with business stakeholders to understand their challenges and develop data-driven solutions that impact strategic decision-making. This is an exceptional opportunity for a curious and driven individual to apply advanced analytical techniques to real-world problems in a supportive and collaborative remote work environment, contributing to data-informed product development and business strategy.

Key Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and insights relevant to business objectives.
• Develop, train, and deploy machine learning models for prediction, classification, and clustering.
• Design and conduct A/B tests and other experiments to evaluate product features and business strategies.
• Create compelling data visualizations and reports to communicate findings to both technical and non-technical audiences.
• Collaborate with engineering teams to integrate data science models into production systems.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.

Requirements

• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or Physics.
• Proven experience as a Data Scientist or in a similar analytical role.
• Strong proficiency in programming languages like Python or R, and associated data science libraries (e.g., pandas, scikit-learn, TensorFlow).
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with SQL and working with large-scale datasets.
• Excellent communication and presentation skills, effective in a fully remote setting.

Benefits

• Highly competitive salary and bonus structure.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and company holidays.
• Opportunities for continuous learning and professional development, including conference attendance.
• A flexible and autonomous remote-first work environment.
• Chance to work on impactful projects with cutting-edge data technologies.