Remote Data Scientist - Machine Learning

Placements24; Benoni; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Remote work flexibility

Health benefits

Home office allowance

Professional development

Access to cutting-edge ML projects

Job summary

Placements24 seeks an experienced Data Scientist specializing in Machine Learning to join a fully remote team. You will develop predictive models from large datasets and translate business needs into data science solutions.

The ideal candidate has 3+ years of ML-focused experience, strong Python/R skills, and familiarity with TensorFlow, PyTorch, and scikit-learn. Collaboration across distributed teams is essential.

Qualifications

• MSc or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 3+ years of professional experience as a Data Scientist with a focus on machine learning.
• Strong proficiency in Python or R, and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with SQL and working with large datasets.
• Solid understanding of statistical modeling, data mining, and algorithm development.
• Excellent communication and collaboration skills, with experience working in distributed teams.

Responsibilities

• Design, build, and deploy machine learning models for various applications, including prediction, classification, and anomaly detection.
• Clean, process, and analyze large, complex datasets from multiple sources.
• Develop and implement robust data pipelines and feature engineering techniques.
• Collaborate with stakeholders to understand business needs and translate them into data science problems.
• Stay current with the latest advancements in machine learning and artificial intelligence.
• Communicate complex findings and model results clearly to technical and non-technical audiences.

Skills

Python

R

SQL

Machine Learning

Education

MSc or PhD in Computer Science/Statistics/Mathematics

Tools

TensorFlow

PyTorch

scikit-learn

Job description

About the Role

Our client is looking for an experienced Data Scientist specializing in Machine Learning to join their fully remote team. This role is instrumental in leveraging vast datasets to develop predictive models and insights that drive business strategy. You will work on challenging projects, collaborate with product and engineering teams, and contribute to the development of intelligent features. The ideal candidate is passionate about data, possesses strong analytical and programming skills, and thrives in a remote, collaborative environment.

Key Responsibilities

• Design, build, and deploy machine learning models for various applications, including prediction, classification, and anomaly detection.
• Clean, process, and analyze large, complex datasets from multiple sources.
• Develop and implement robust data pipelines and feature engineering techniques.
• Collaborate with stakeholders to understand business needs and translate them into data science problems.
• Stay current with the latest advancements in machine learning and artificial intelligence.
• Communicate complex findings and model results clearly to technical and non-technical audiences.

Requirements

• M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 3+ years of professional experience as a Data Scientist with a focus on machine learning.
• Strong proficiency in programming languages such as Python or R, and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with SQL and working with large datasets.
• Solid understanding of statistical modeling, data mining, and algorithm development.
• Excellent communication and collaboration skills, with experience working in distributed teams.

Benefits

• Highly competitive salary and remote work flexibility.
• Comprehensive health, dental, and vision benefits.
• Generous allowance for home office setup and professional development.
• Opportunities to work on cutting-edge ML projects with significant impact.
• A culture that values innovation, collaboration, and continuous learning.