Senior Data Scientist, AI Product Development

Placements24; Randburg; On-site; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Stock options

Competitive salary + bonus

Job summary

Placements24 is sourcing a Senior Data Scientist for its Randburg, Gauteng office. You will lead end-to-end ML model development, from data exploration to production deployment, collaborating with product managers, engineers, and designers on AI-powered features.

The role emphasizes handling large datasets, applying advanced analytical techniques, and delivering data-driven outcomes across diverse projects within a fast-paced tech environment.

Qualifications

• Master's or Ph.D. in Data Science, CS, Statistics, Mathematics, or related field.
• 5+ years of experience as a Data Scientist with deploying ML models.
• Strong Python and data science library proficiency.

Responsibilities

• Design, build and deploy ML models for AI product features.
• Analyze large, complex datasets to identify trends and insights.
• Feature engineering, model selection, and hyperparameter tuning to optimize performance.
• Collaborate with product managers to translate business needs into data science solutions.
• Work with engineers to deploy ML models into production environments.
• Monitor and improve model performance over time.
• Communicate findings to technical and non-technical stakeholders.
• Stay updated on advancements in data science and ML.

Skills

Python

Data analysis

ML model development

SQL

Data visualization

Cross-functional collaboration

Education

Master's or PhD in Data Science or related

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Tableau

Job description

Placements24 is sourcing a Senior Data Scientist for its Randburg, Gauteng office. You will lead end-to-end ML model development, from data exploration to production deployment, collaborating with product managers, engineers, and designers on AI-powered features.

The role emphasizes handling large datasets, applying advanced analytical techniques, and delivering data-driven outcomes across diverse projects within a fast-paced tech environment.