Senior Data Scientist

Boardroom Appointments; Johannesburg; On-site; ZAR 500 000 - 700 000; Full time

Job summary

A leading recruitment firm in Johannesburg seeks a skilled data scientist to develop advanced machine learning and predictive models. This role involves collaborating with cross-functional teams to leverage data for business solutions, analyzing complex data sets, and implementing cloud-based solutions using Azure. Ideal candidates have strong proficiency in Python, Machine Learning frameworks, and experience with Natural Language Processing. This position offers the opportunity to work on innovative projects that drive business improvement.

Qualifications

• Experience in developing Machine Learning, Deep Learning, and Predictive Models.
• Experience in Software Engineering Discipline including Source Control and CI/CD.
• Applied experience with Natural Language Processing and related techniques.

Responsibilities

• Collaborate with teams to leverage data for business solutions.
• Analyze complex data sets using statistical techniques.
• Develop predictive models and machine learning algorithms.

Skills

Machine Learning

Deep Learning

Predictive Models

Software Engineering Discipline

Python programming

Natural Language Processing

Data Visualization

Tools

Tensorflow

PyTorch

scikit-learn

Power BI

Azure

Job description

Overview

• Experience in developing Machine Learning, Deep Learning, and Predictive Models.
• Experience in Software Engineering Discipline (e.g. Source Control, CI/CD)
• Experience in major ML frameworks (Tensorflow, PyTorch, scikit-learn); structured and unstructured data
• Building end-to-end solutions on Cloud (Azure)
• Experience with working with and tuning pre-built AI Services in Cloud
• Data Visualisation software (e.g. Power BI) experience.
• Proficiency in Python programming
• Experience in deploying models into production environments is advantageous.
• Strong Computer Science, Maths and Stats skills
• Experience in deploying workloads on Azure
• Applied experience with Natural Language Processing
• Knowledge of a variety of Natural Language Processing techniques and their real-world applications

Responsibilities

• Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.
• Analyze large and complex data sets using advanced statistical techniques.
• Develop predictive models and machine learning algorithms to solve business problems.
• Communicate findings to non-technical stakeholders in a clear and concise manner.
• Develop and implement data-driven solutions to improve business operations.
• Keep up to date with the latest developments in data science and machine learning.