Data Scientist - AI Applications

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

Benefits offered by this job

Bonus potential

Health & retirement benefits

Generous paid leave

Professional development opportunities

R&D in Stellenbosch

Collaborative culture

Job summary

Placements24 in Stellenbosch seeks a highly analytical Data Scientist specializing in AI Applications to join their team. You will work with large datasets, develop predictive models, and deploy ML algorithms to drive insights and innovations in AI technologies.

The role offers opportunities to contribute to cutting-edge projects in a dynamic environment, with a focus on experimentation and collaboration with engineering teams.

Qualifications

• Master's or PhD in Data Science, Statistics, Computer Science, or related quantitative field.
• 4+ years of experience as a Data Scientist with a focus on AI models.
• Proficiency in Python or R and libraries like scikit-learn, pandas, NumPy.
• Strong understanding of statistical modeling, ML algorithms, and data mining techniques.
• Experience with SQL and database management, plus big data technologies.
• Excellent problem-solving and data-driven mindset.

Responsibilities

• Analyze datasets to identify trends and actionable insights for AI applications.
• Develop, train, and evaluate ML models for prediction, classification, and clustering.
• Deploy AI algorithms into production with engineering teams.
• Design experiments to test hypotheses and validate model performance.
• Communicate findings clearly to technical and non-technical stakeholders.
• Stay current with advances in data science, ML, and AI technologies.

Skills

Statistical modeling

ML algorithms

Data mining

Education

Master's/PhD in data science or related field

Tools

Python

R

scikit-learn

pandas

NumPy

SQL

Big data technologies

Job description

About the Role

Our client is seeking a highly analytical and innovative Data Scientist specializing in AI Applications to join their esteemed team in Stellenbosch . This role is pivotal in leveraging data to build and deploy intelligent systems that solve complex business problems. You will work with large datasets, develop predictive models, and implement machine learning algorithms to drive insights and innovation within the AI & Emerging Technologies sector. Situated in the vibrant academic and technological hub of Stellenbosch , this position offers a fantastic opportunity to contribute to cutting-edge projects and grow your career in a dynamic environment.

Key Responsibilities

• Analyze complex datasets to identify trends, patterns, and actionable insights relevant to AI applications.
• Develop, train, and evaluate machine learning models for prediction, classification, and clustering tasks.
• Implement and deploy AI algorithms into production systems, collaborating with engineering teams.
• Design and conduct experiments to test hypotheses and validate model performance.
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
• Stay current with the latest advancements in data science, machine learning, and AI technologies.

Requirements

• Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
• 4+ years of experience as a Data Scientist with a strong focus on developing and deploying AI models.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, pandas, NumPy).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with SQL and database management, as well as familiarity with big data technologies.
• Excellent problem-solving abilities and a passion for deriving value from data.

Benefits

• Competitive salary and attractive bonus structure.
• Comprehensive health, dental, and retirement benefits.
• Generous annual leave and paid sick leave.
• Opportunities for professional development, including workshops and conferences.
• Work in a stimulating research and development environment in Stellenbosch .
• Collaborative team culture focused on innovation and continuous improvement.