AI Data Scientist

Placements24; Stellenbosch; On-site; ZAR 600,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Professional development

AI projects exposure

Supportive environment

Paid time off

Job summary

Placements24 in Paarl, Western Cape, SA, seeks an experienced AI Data Scientist to extract insights from complex datasets, build predictive models and drive AI initiatives on-site.

The role demands strong Python/R, ML expertise, and data visualization, with cross-team collaboration to deploy models and communicate findings to stakeholders.

Join a dynamic team focused on innovative solutions, with development opportunities and a competitive compensation package.

Qualifications

• Master's or PhD in a quantitative field such as Statistics, Mathematics, CS or DS.
• Proven experience as a Data Scientist focused on AI/ML applications.
• Strong Python or R skills and libraries (pandas, scikit-learn, TensorFlow, PyTorch).
• Expertise in statistical modeling, ML techniques, and data mining.
• Experience with data visualization tools.
• Familiarity with SQL/NoSQL databases.
• Excellent analytical and communication abilities.
• Team-oriented with collaborative mindset.

Responsibilities

• Collect, preprocess, and explore large datasets.
• Develop statistical models and ML algorithms.
• Evaluate model performance and improve accuracy.
• Deploy models with production teams.
• Communicate insights to technical and non-technical stakeholders.
• Stay updated on AI advancements.

Skills

Python

R

Statistical modeling

ML algorithms

Data visualization

SQL/NoSQL

Team collaboration

Education

Master's or PhD in statistics, mathematics, CS, data science

Tools

TensorFlow

PyTorch

pandas

scikit-learn

Job description

About the Role

Our client is seeking a highly analytical and experienced AI Data Scientist to join their dedicated team in Paarl, Western Cape, ZA . This role is pivotal in extracting valuable insights from complex datasets, developing predictive models, and contributing to the strategic direction of AI-driven initiatives. You will work on diverse projects, applying advanced statistical and machine learning techniques to solve business challenges and uncover new opportunities. This is an excellent opportunity for a data-savvy professional to make a significant impact within a dynamic organization. The role requires on-site presence, fostering close collaboration and team synergy.

Key Responsibilities

• Collect, clean, and preprocess large, complex datasets.
• Develop and implement statistical models and machine learning algorithms.
• Perform exploratory data analysis to identify trends and patterns.
• Build predictive models and machine learning systems to solve business problems.
• Evaluate and refine model performance, ensuring accuracy and reliability.
• Communicate findings and insights effectively to technical and non-technical stakeholders.
• Collaborate with engineering teams to deploy models into production environments.
• Stay updated on the latest advancements in data science and AI.
• Contribute to the development of data strategies and best practices.

Requirements

• Master's or Ph.D. in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
• Proven experience as a Data Scientist with a focus on AI/ML applications.
• Strong proficiency in programming languages such as Python or R, and relevant libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Expertise in statistical modeling, machine learning techniques, and data mining.
• Experience with data visualization tools.
• Familiarity with database technologies (SQL, NoSQL).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills.
• Ability to work effectively in a team environment.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health and wellness benefits.
• Opportunities for professional development and continuous learning.
• Exposure to innovative AI projects.
• Collaborative and supportive work environment.
• Paid time off and company holidays.