Remote Senior Data Scientist: ML, AI Research & Impact

Placements24; Midrand; Hybrid; ZAR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Remote work flexibility

Health insurance included

Professional development budget

Generous paid time off

Job summary

Placements24 seeks a Senior Data Scientist for a fully remote role. You will design and deploy advanced ML models, analyze large datasets, and collaborate with engineers to push AI applications forward. Strong communication skills and remote work experience are essential.

PhD or Master’s in a quantitative field with 5+ years of ML experience is required. Proficiency in Python/R and ML libraries is expected; cloud and big data experience is a plus.

Qualifications

• PhD or Master’s degree in a quantitative field (CS/Stats/Math).
• 5+ years hands-on experience in data science and ML roles.
• Proficiency in Python or R and ML libraries.
• Experience with big data tech (Spark/Hadoop) and SQL.
• Ability to work independently in a remote setting.

Responsibilities

• Design, develop, and implement ML models for various applications.
• Analyze large datasets to extract insights and identify trends.
• Prepare data for model training and evaluation; ML deployment with engineering teams.
• Evaluate and refine model performance for accuracy and efficiency.
• Mentor junior data scientists and share knowledge.

Skills

Python

R

Statistics

Machine learning

Data visualization

SQL

Remote work

Education

PhD in CS/Statistics/Mathematics

Master’s degree in a quantitative field

Tools

TensorFlow

PyTorch

Scikit-learn

Spark

Hadoop

AWS

Azure

GCP

Job description

Placements24 seeks a Senior Data Scientist for a fully remote role. You will design and deploy advanced ML models, analyze large datasets, and collaborate with engineers to push AI applications forward. Strong communication skills and remote work experience are essential.

PhD or Master’s in a quantitative field with 5+ years of ML experience is required. Proficiency in Python/R and ML libraries is expected; cloud and big data experience is a plus.