Senior Data Scientist — Remote, ML & Research Leader

Placements24; Midrand; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Fully remote work

Health insurance

Paid time off

Professional development

Access to cutting-edge tech

Job summary

Placements24 is seeking aSenior Data Scientist to join our remote R&D team. You will design and deploy advanced ML models, lead data-driven initiatives, and collaborate with cross-functional teams to turn complex data into actionable insights.

A strong emphasis on production-ready pipelines and scalable solutions. The ideal candidate has a PhD/masters in a quantitative field and 5+ years of experience with Python or R, TensorFlow, PyTorch, Spark, and cloud platforms.

Qualifications

• Master's or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline.
• 5+ years of professional experience in data science with ML deployment track record.
• Proficiency in Python or R and libraries like TensorFlow, PyTorch, scikit-learn.

Responsibilities

• Design, develop, and implement complex ML models and algorithms for scientific problems.
• Conduct exploratory data analysis on large, diverse datasets to identify patterns and insights.
• Collaborate with researchers, engineers, and product managers to deliver data-driven solutions.
• Develop and deploy scalable data science pipelines and productionize models.
• Mentor junior data scientists and contribute to knowledge sharing.
• Present findings to stakeholders via visualizations and reports.

Skills

Python

R

ML concepts

Statistical modeling

Experimental design

Communication

Problem solving

Team collaboration

Education

Master's or PhD in CS/Statistics/Math/Physics

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

AWS

Azure

GCP

Job description

Placements24 is seeking aSenior Data Scientist to join our remote R&D team. You will design and deploy advanced ML models, lead data-driven initiatives, and collaborate with cross-functional teams to turn complex data into actionable insights.

A strong emphasis on production-ready pipelines and scalable solutions. The ideal candidate has a PhD/masters in a quantitative field and 5+ years of experience with Python or R, TensorFlow, PyTorch, Spark, and cloud platforms.