Data Scientist

Pep; Cape Town; On-site; ZAR 600,000 - 1,000,000; Full time

Job summary

Pep in Cape Town is seeking a Data Scientist to design, implement and scale ML models that turn data into business value. You will translate complex outputs into actionable business strategies for stakeholders and mentor junior team members.

This role emphasizes building end-to-end analytics and MLOps practices in a cloud environment. You will collaborate across teams to drive innovative data solutions, improve customer experiences, and enable data-driven decision making.

Responsibilities

• Lead the design and deployment of scalable ML models in a cloud environment.
• Analyse model outputs and datasets to uncover insights for business decisions and growth.
• Design and run controlled experiments to test new strategies with solid statistical basis.
• Collaborate with cross-functional teams to implement models across the business.
• Communicate insights and recommendations clearly to stakeholders and decision-makers.
• Drive innovation by identifying new data sources and methods for better solutions.
• Mentor and upskill junior data scientists to foster continuous learning and excellence.
• Define and enforce best practices for code quality, version control, model validation, and MLOps pipelines.

Job description

Are you hungry to drive real business impact and turn raw data into a competitive advantage? As a data scientist, you will leverage your expertise to design and implement scalable data science and machine learning solutions that transform enterprise data into clear financial advantages and optimised customer experiences. Your role will be pivotal in building end-to-end advanced analytics systems that elevate our decision-making capabilities. You will act as a technical anchor, translating complex algorithmic outputs into actionable business strategies for non-technical stakeholders, while mentoring junior talent and ensuring adherence to best practices. Join us in transforming data into a strategic asset!

KEY RESPONSIBILITIES

• Lead the design, development and deployment of scalable, production-grade ML models and data products within a cloud environment

• Analyse model output and complex datasets to uncover insights and trends that inform business decisions and drive growth

• Design and execute controlled experiments to test new strategies, providing statistically sound recommendations

• Collaborate with cross-functional teams to implement models

• Communicate insights and recommendations to stakeholders and decision makers in a clear and concise manner

• Drive innovation by identifying new opportunities, data sources and methodologies for improved solutions

• Guide, mentor and upskill junior data scientists, fostering a culture of continuous learning and technical excellence

• Define and enforce best practices for code quality, version control, model validation and MLOps deployment pipelines