Senior Data Scientist – Remote ML Leader & Mentor

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

Benefits offered by this job

Stock options

Health coverage

Paid time off

Home office budget

Job summary

Placements24 is seeking a Senior Data Scientist for a remote-first role. You’ll extract insights from large datasets, build predictive models, and influence data-driven strategies across the organization.

Lead junior data scientists, mentor peers, and help shape the data science roadmap while collaborating with product, engineering, and business analytics teams in a distributed setup.

Qualifications

• Master’s degree or PhD in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• 5+ years of hands-on experience as a Data Scientist or in a similar analytical role.
• Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and R.
• Strong experience with SQL and relational databases.
• Deep understanding of ML algorithms (regression, classification, clustering, deep learning).
• Experience with big data technologies (Spark, Hadoop) is a plus.
• Excellent data visualization, analytical, and communication skills.
• Ability to work independently and in remote teams.

Responsibilities

• Design and deploy advanced ML models and statistical analyses to solve business problems.
• Analyze large datasets to identify trends and actionable insights.
• Create data pipelines for ETL processes and data governance.
• Collaborate with engineering to deploy models in production."
• Communicate findings clearly to technical and non-technical stakeholders.

Skills

Python

R

SQL

Statistics

Machine Learning

Data Visualization

Mentoring

Remote collaboration

Education

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

Tools

Spark

Hadoop

TensorFlow

PyTorch

Airflow

Job description

Placements24 is seeking a Senior Data Scientist for a remote-first role. You’ll extract insights from large datasets, build predictive models, and influence data-driven strategies across the organization.

Lead junior data scientists, mentor peers, and help shape the data science roadmap while collaborating with product, engineering, and business analytics teams in a distributed setup.