Senior Data Scientist - Machine Learning

Placements24; Pretoria; Hybrid; ZAR 1,959,000 - 2,938,000; Full time

Benefits offered by this job

Remote work allowance

Health, dental, vision insurance

Flexible working hours

Job summary

Placements24 is seeking a Senior Data Scientist to join a remote analytics team. The role focuses on building and deploying predictive models and AI solutions to drive business strategy and improve customer experiences.

You will collaborate with product managers, engineers, and business stakeholders to translate analyses into actionable insights. The ideal candidate has 5+ years in data science and ML, strong Python or R skills, and experience with big data and cloud platforms.

Qualifications

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science and machine learning.
• Proficiency in Python or R with libraries like scikit-learn, TensorFlow or PyTorch.
• Strong understanding of ML algorithms and statistical modeling techniques.
• Experience with big data technologies and cloud platforms (Spark, Hadoop, AWS/Azure/GCP).

Responsibilities

• Design, develop, and implement advanced machine learning models for prediction, classification, and clustering.
• Clean, process, and transform large, complex datasets for modeling.
• Develop and maintain data pipelines and automated model training processes.
• Evaluate model performance, conduct A/B tests, and iterate for improvement.
• Communicate complex findings to non-technical stakeholders.
• Stay current with advances in ML, AI, and data science techniques.

Skills

Data science

Machine learning

Python

R

Big data

Cloud platforms

Model deployment

Communication

Education

Masters or PhD in CS/Statistics/Math

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a highly skilled Senior Data Scientist with expertise in Machine Learning to join their dynamic analytics team, working remotely. This role is central to developing and deploying sophisticated predictive models and AI solutions that drive business strategy and enhance customer experiences. You will collaborate with product managers, engineers, and business stakeholders to identify opportunities, design data-driven experiments, and translate complex analytical findings into actionable insights. The ideal candidate is a proactive problem-solver with a deep understanding of ML algorithms and a passion for leveraging data to solve real-world challenges in a remote-first environment.

Key Responsibilities

• Design, develop, and implement advanced machine learning models for prediction, classification, and clustering.
• Clean, process, and transform large, complex datasets to prepare them for modeling.
• Develop and maintain data pipelines and automated model training processes.
• Evaluate model performance, conduct A/B testing, and iterate on models to improve accuracy and efficiency.
• Communicate complex technical findings and recommendations to non-technical stakeholders.
• Stay current with the latest advancements in machine learning, AI, and data science techniques.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science and machine learning.
• Proficiency in Python or R, along with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of various machine learning algorithms and statistical modeling techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Excellent problem-solving skills and the ability to work independently in a remote setting.

Benefits

• Competitive salary and remote work allowance.
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and flexible working hours.
• Access to online learning platforms and opportunities for professional development.
• A collaborative and innovative remote team culture focused on continuous learning and impact.