Senior Data Scientist - AI Applications

Placements24; Sandton; On-site; ZAR 1,100,000 - 1,800,000; Full time

Benefits offered by this job

Health insurance

On-site work in Sandton

Professional development opportunities

Performance-based incentives

Job summary

Placements24 in Sandton seeks a Senior Data Scientist specializing in AI applications to join our innovative team. You will leverage advanced statistical modeling, ML, and data mining to build predictive models that drive business growth and enhance product capabilities.

This role requires a strong blend of technical expertise and business acumen, with the ability to translate complex findings into actionable strategies and to collaborate across product, engineering, and analytics teams.

Qualifications

• PhD or Master's degree in Statistics, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist with a focus on building and deploying AI models.
• Proficiency in programming languages such as Python or R, and libraries like Scikit-learn, Pandas, TensorFlow, PyTorch.
• Solid understanding of statistical modeling, ML algorithms, and data mining techniques.
• Experience with big data technologies and cloud platforms (Spark, AWS, Azure, GCP).
• Excellent problem-solving and communication skills.

Responsibilities

• Develop, train, and deploy machine learning models for business applications (predictive analytics, recommendations, NLP).
• Perform exploratory data analysis to identify trends and opportunities in large datasets.
• Design and run A/B tests and experiments to evaluate AI-driven features.
• Collaborate with product managers, engineers, and stakeholders to define scope and deliverables.
• Communicate complex findings clearly to technical and non-technical audiences.
• Stay updated on advances in data science, ML, and AI.

Skills

Python

R

Machine learning

Data mining

Statistical modeling

Communication

Education

Master's degree

PhD

Tools

TensorFlow

PyTorch

scikit-learn

Pandas

Spark

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a highly analytical and innovative Senior Data Scientist specializing in AI Applications to join their esteemed team in Sandton . You will leverage advanced statistical modeling, machine learning, and data mining techniques to extract valuable insights and build predictive models that drive business growth and enhance product capabilities. This role requires a strong blend of technical expertise, business acumen, and the ability to translate complex data findings into actionable strategies. Join a forward-thinking company at the forefront of applying AI to solve critical business challenges.

Key Responsibilities

• Develop, train, and deploy sophisticated machine learning models for various business applications (e.g., predictive analytics, recommendation systems, natural language processing).
• Conduct exploratory data analysis to identify trends, patterns, and opportunities within large datasets.
• Design and execute A/B tests and other experiments to evaluate the impact of AI-driven features.
• Collaborate with product managers, engineers, and business stakeholders to define project scope and deliverables.
• Communicate complex findings and model results clearly to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and AI.

Requirements

• PhD or Master's degree in Statistics, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a strong focus on building and deploying AI models.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., Scikit-learn, Pandas, TensorFlow, PyTorch).
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with big data technologies and cloud platforms (e.g., Spark, AWS, Azure, GCP).
• Excellent problem-solving and communication skills.

Benefits

• Competitive annual salary and significant performance-based incentives.
• Comprehensive health, dental, and vision insurance plans.
• On-site work environment in the vibrant business hub of Sandton .
• Opportunities for continuous learning, attending conferences, and professional development.
• Retirement savings plan with employer matching.
• A dynamic and collaborative culture focused on innovation and data-driven decision-making.