Lead Data Scientist

Select One; Midrand; On-site; ZAR 600,000 - 900,000; Full time

Job summary

A technology company located in Midrand, Gauteng, is seeking a candidate skilled in machine learning with strong proficiency in Python and AWS. The role focuses on designing and managing solutions throughout the software lifecycle, requiring excellent problem-solving skills and the ability to communicate effectively within teams. Key competencies include statistical expertise and experience with relevant tools.

Qualifications

• Excellent analytical and problem-solving skills with keen attention to detail.
• Strong knowledge of Python and standard machine learning libraries.
• Experience with version control systems (e.g., Git).
• Solid understanding of statistical concepts and techniques.
• Strong communication and interpersonal skills.

Skills

Problem-Solving Skills

Python Proficiency

AWS Experience

Source Management and Repositories

Full Software Lifecycle

Statistical Expertise

Communication

Tools

Amazon QuickSight

Power BI

Tableau

scikit-learn

pandas

NumPy

TensorFlow

PyTorch

Docker

Job description

Key Interfaces

• Conversational Design Team
• CX Development Team
• CX Development Manager
• CX Automation Practice Lead
• 3rd Parties as appropriate, including customer technical and business representatives
• Innovations Team
• Presales Team

Key Competencies

• Problem-Solving Skills : Excellent analytical and problem-solving skills with a keen attention to detail.
• Python Proficiency : Strong knowledge of Python and standard machine learning libraries.
• AWS Experience : Strong experience working with AWS, including deploying and managing machine learning solutions in the cloud.
• Source Management and Repositories : Experience with version control systems (e.g., Git) and familiarity with modern software development workflows.
• Full Software Lifecycle : Experience designing machine learning models from scratch and seeing them through the full software lifecycle, from concept and development to post-deployment monitoring and optimisation.
• Statistical Expertise : Solid understanding of statistical concepts and techniques, with a demonstrated ability to apply them in machine learning applications.
• Communication : Strong communication and interpersonal skills, with the ability to collaborate effectively in a team environment.

Preferred Competencies

• Contact Centre Experience : Experience working within the contact centre industry, applying machine learning to real-world challenges.
• NLP and Text Analytics : Experience with natural language processing and text analytics, particularly in domain-specific applications.
• Cloud Platforms : Familiarity with cloud computing platforms, including AWS (preferred), Azure, or Google Cloud.
• Data Visualization : Proficiency with data visualization tools such as Amazon QuickSight, Power BI, or Tableau.
• Prompt Engineering : Experience in prompt engineering for large language models (e.g., GPT, Claude, Gemini).
• LLM Frameworks : Familiarity with frameworks such as LangChain or Amazon Bedrock for deploying and integrating large language models.
• Specific Python Libraries : e.g. scikit-learn, pandas, NumPy, TensorFlow, PyTorch.
• Docker : Familiarity with containerization technologies like Docker, Docker Compose, and Docker Swarm is a plus. Experience using these tools to build, deploy, and scale data science applications is highly desirable.