Data Scientist - Machine Learning

Placements24; Stellenbosch; Hybrid; ZAR 700,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Remote work opportunities

Health insurance

Professional development budget

Collaborative team

Job summary

Placements24 is seeking an experienced Data Scientist with a strong focus on machine learning to develop, implement, and deploy advanced predictive models that drive business decisions.

You will work with large, complex datasets, leverage cutting-edge ML techniques, and collaborate with a diverse team in a remote-friendly environment. The role offers opportunities to shape data-driven strategies and contribute to AI advancements.

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or related field.
• 3+ years of experience developing and deploying ML models in real-world settings.
• Proficiency in Python or R and ML libraries such as scikit-learn, TensorFlow, or PyTorch.
• Experience with big data technologies and cloud platforms is a plus.

Responsibilities

• Design, develop, and implement ML models for classification, regression, clustering, and forecasting.
• Perform data cleaning, feature engineering, and EDA on large datasets.
• Evaluate models and iterate for improvements.
• Deploy models into production with scalable, reliable processes.
• Communicate insights clearly to technical and non-technical stakeholders.
• Stay updated with ML and AI advancements.

Skills

Python

R

scikit-learn

TensorFlow

PyTorch

Spark

Cloud platforms

Model deployment

Data analysis

Communication

Education

Master's or PhD in a quantitative field

Master's degree in CS/Statistics/Math

Tools

AWS

GCP

Azure

Job description

About the Role

Our client is looking for a talented and experienced Data Scientist with a strong focus on machine learning to join their dynamic and innovative team. In this role, you will be responsible for developing, implementing, and deploying advanced predictive models that drive business decisions and enhance product offerings. This is a fantastic opportunity to work with large, complex datasets, leverage cutting-edge ML techniques, and collaborate with a diverse group of professionals in a highly stimulating environment. You will have the chance to shape data-driven strategies and contribute to significant advancements in AI and predictive analytics, enjoying the flexibility of a remote work setup.

Key Responsibilities

• Design, develop, and implement sophisticated machine learning models for tasks such as classification, regression, clustering, and forecasting.
• Perform data cleaning, feature engineering, and exploratory data analysis on large, multi-dimensional datasets.
• Evaluate model performance, identify areas for improvement, and iterate on model development for optimal results.
• Deploy machine learning models into production environments, collaborating with engineering teams to ensure scalability and reliability.
• Communicate complex analytical findings and model insights clearly and effectively to both technical and non-technical stakeholders.
• Stay current with the latest advancements in machine learning, artificial intelligence, and data science best practices.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience (3+ years) in developing and deploying machine learning models in a real-world setting.
• Strong proficiency in programming languages such as Python or R, and libraries like scikit-learn, TensorFlow, or PyTorch.
• Deep understanding of various machine learning algorithms, statistical modeling techniques, and data mining principles.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is a plus.
• Excellent analytical, problem-solving, and communication skills, with a passion for uncovering insights from data.

Benefits

• Highly competitive salary package, including potential bonuses.
• Flexible work arrangements and remote work opportunities.
• Comprehensive health, dental, and vision insurance coverage.
• Generous budget for professional development, including conferences and training.
• A collaborative and intellectually stimulating work environment in the heart of the tech community.