Data Scientist - AI Model Development

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

Benefits offered by this job

Competitive salary and bonuses

Health, dental, and vision insurance

Professional development opportunities

Hybrid work arrangement and work-life

Paid time off and holidays

Retirement savings plan with employer

Job summary

Placements24 seeks a talented Data Scientist in Sandton, Gauteng to develop, validate and deploy AI/ML models on large datasets. You will translate insights into actionable business strategies while collaborating in a hybrid team environment with on-site and remote work.

The role requires advanced degrees and proven experience with Python or R and ML libraries, plus strong analytical and communication skills to present complex results to diverse audiences.

Qualifications

• Master's or PhD in a quantitative field required.
• Proven experience with AI/ML models and data science projects.
• Proficiency in Python or R and ML libraries.
• Strong analytical and communication skills; ability to present results.

Responsibilities

• Design, develop, and deploy predictive models and ML algorithms.
• Clean, process, and analyze large datasets to identify trends.
• Validate model performance and interpret results for stakeholders.
• Translate business needs into data science requirements.
• Develop data pipelines for model training and deployment.
• Experiment with new algorithms to improve accuracy.
• Communicate findings clearly to technical and non-technical audiences.
• Stay updated with advances in data science and AI.
• Contribute to data science best practices and standards.
• Collaborate in a hybrid team environment, on-site and remotely.

Skills

Analytical thinking

Problem solving

Communication

Presentation skills

Education

Master's or PhD in Statistics/CS/Mathematics

Tools

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL/NoSQL

AWS/Azure/GCP

Job description

About the Role

Our client is a dynamic technology firm that leverages artificial intelligence to drive innovation and solve complex business challenges. We are seeking a talented and analytical Data Scientist to join our team in Sandton, Gauteng . In this role, you will be responsible for developing, validating, and deploying sophisticated AI and machine learning models. You will work with large, complex datasets, extracting valuable insights and translating them into actionable strategies. This position offers a fantastic opportunity to contribute to cutting-edge AI projects and collaborate with a team of experienced professionals in a hybrid work environment. If you have a passion for data, a strong understanding of statistical modeling, and a desire to build impactful AI solutions, we encourage you to apply. Our client is committed to fostering a data-driven culture and pioneering advancements in AI.

Key Responsibilities

• Design, develop, and implement predictive models and machine learning algorithms.
• Clean, process, and analyze large, complex datasets to identify trends and patterns.
• Validate model performance and interpret results to provide actionable insights.
• Collaborate with stakeholders to understand business needs and translate them into data science requirements.
• Develop and maintain robust data pipelines for model training and deployment.
• Experiment with new algorithms and techniques to improve model accuracy and efficiency.
• Communicate complex findings and recommendations clearly to technical and non-technical audiences.
• Stay updated with the latest advancements in data science, machine learning, and AI.
• Contribute to the development of data science best practices and standards.
• Work effectively within a hybrid team structure, collaborating both in-person and remotely.

Requirements

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
• Proven experience as a Data Scientist, with a strong portfolio of developed AI/ML models.
• Proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools and techniques.
• Familiarity with database technologies (SQL, NoSQL).
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and presentation skills.
• Ability to work effectively in a hybrid work environment, collaborating with team members both on-site and remotely.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development, training, and conference attendance.
• Hybrid work arrangement offering flexibility and work-life balance.
• Engaging projects with significant impact on business strategy.
• Collaborative and innovative team environment.
• Generous paid time off and holiday benefits.
• Retirement savings plan with employer matching.
• Access to modern analytical tools and technologies.
• Employee wellness programs and support resources.