Senior AI/ML Data Scientist — Hybrid (Welkom)

Placements24; Willows (CA); Hybrid; USD 61,000 - 85,000; Full time

Benefits offered by this job

Competitive salary package

Professional development budgets

Hybrid work model in Welkom

State-of-the-art technology

Career growth culture

Job summary

Placements24 in Welkom, Free State, seeks a Senior Data Scientist specializing in AI/ML to drive predictive modeling and data-driven decisions. You will build production-ready models, lead ML initiatives, and collaborate across data, engineering, and product teams in a hybrid office environment.

The role emphasizes cutting-edge techniques, big data, and strong communication to translate complex insights for non-technical stakeholders, with opportunities for mentoring and professional development.

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist focused on AI/ML.
• Proven experience deploying production ML models.
• Proficiency in Python or R and libraries like TensorFlow, PyTorch, scikit-learn, pandas, NumPy.
• Experience with Spark/Hadoop, SQL databases, and cloud platforms (AWS/Azure/GCP).

Responsibilities

• Develop, train, and deploy production ML models.
• Conduct advanced statistical analyses and data mining.
• Design data pipelines for collection, cleaning, and feature engineering.
• Collaborate with engineering and product teams to integrate models.
• Mentor junior data scientists and share knowledge.
• Stay updated with AI/ML advancements.

Skills

AI/ML

Python

R

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

Spark

SQL

Cloud (AWS/GCP/Azure)

Education

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

Tools

Git

Job description

Placements24 in Welkom, Free State, seeks a Senior Data Scientist specializing in AI/ML to drive predictive modeling and data-driven decisions. You will build production-ready models, lead ML initiatives, and collaborate across data, engineering, and product teams in a hybrid office environment.

The role emphasizes cutting-edge techniques, big data, and strong communication to translate complex insights for non-technical stakeholders, with opportunities for mentoring and professional development.