Senior Data Scientist - Ai & Machine Learning

Placements24; Gauteng; On-site; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work model

Relocation assistance

Professional development

Job summary

Placements24 is seeking a Senior Data Scientist to join a leading research-focused company in Midrand, Gauteng. You will apply AI and ML to large scientific datasets, build models, and work across teams to translate findings into solutions.

The role blends on-site collaboration with remote flexibility, requires 5+ years in data science, and offers competitive salary, health benefits, and ongoing professional development.

Qualifications

• Master's or PhD in computer science, statistics, mathematics, physics or related quantitative field.
• 5+ years of professional data science experience with AI/ML.
• Proficiency in Python or R and libraries (TensorFlow, PyTorch, Scikit-learn, Pandas).

Responsibilities

• Develop and implement ML algorithms and statistical models on large scientific datasets.
• Build and maintain data pipelines for extraction, transformation and loading.
• Collaborate with researchers and engineers to translate goals into data-driven solutions.
• Perform rigorous data validation and QA to ensure accuracy of results.
• Present findings clearly to technical and non-technical stakeholders.
• Stay updated with AI/ML advancements and apply to research challenges.
• Contribute to IP development and publish research results.
• Mentor junior data scientists and support team growth.

Skills

Python

R

TensorFlow

PyTorch

Scikit-learn

Education

Master's or PhD in quantitative field

Tools

AWS

Azure

GCP

Spark

Hadoop

Job description

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Senior Data Scientist - AI & Machine Learning

Posted today

Job Description

full-time

About the Role

Our client, a leading innovator in scientific research and development, is seeking a highly skilled and experienced Senior Data Scientist to join their dynamic team in Midrand, Gauteng . This pivotal role focuses on leveraging cutting-edge AI and machine learning techniques to drive groundbreaking discoveries and develop advanced solutions. You will be instrumental in shaping the future of our client's research initiatives, working with complex datasets to uncover hidden patterns and build predictive models. This is an exceptional opportunity for a motivated individual to make a significant impact in a collaborative and intellectually stimulating environment, contributing to projects that push the boundaries of scientific knowledge. The role offers a blend of on-site collaboration and remote flexibility, fostering a productive and engaging work experience in the heart of Gauteng's innovation hub.

Key Responsibilities

• Develop and implement sophisticated machine learning algorithms and statistical models to analyze large-scale scientific datasets.
• Design, build, and maintain data pipelines for efficient data extraction, transformation, and loading.
• Collaborate closely with research scientists and engineers to understand project goals and translate them into data-driven solutions.
• Perform rigorous data validation and quality assurance to ensure the accuracy and reliability of analytical results.
• Present complex findings and insights clearly and concisely to both technical and non-technical stakeholders.
• Stay abreast of the latest advancements in AI, machine learning, and data science, and apply them to novel research challenges.
• Contribute to the development of intellectual property and publish research findings in relevant scientific venues.
• Mentor junior data scientists and contribute to the team's overall technical growth.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, with a strong focus on AI and machine learning.
• Proven expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop).
• Strong understanding of statistical modeling, experimental design, and hypothesis testing.
• Excellent problem-solving skills and the ability to tackle complex, ambiguous challenges.
• Demonstrated ability to communicate technical concepts effectively, both verbally and in writing.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
• Familiarity with scientific research methodologies and the ability to work in a research-intensive environment.

Benefits

Our client offers a competitive salary package, comprehensive health and wellness benefits, generous paid time off, and opportunities for professional development and continuing education. Employees benefit from a stimulating work environment, access to state-of-the-art research facilities, and the chance to collaborate with world-class scientists. The hybrid work model provides flexibility, balancing the benefits of in-office collaboration with the convenience of remote work. Relocation assistance may be available for qualified candidates. Join a company that values innovation, collaboration, and employee growth.