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Posted 1mo ago

Data Science Developer

@ Lightstone
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Bryanston, Gauteng, South Africa
HybridFull Time
Responsibilities:designing data architectures, building pipelines, developing models
Requirements Summary:3+ years data science/analytics engineering; MS/BS in Statistics/Math/CS/Data Science/Engineering; strong SQL, Python, ML engineering experience.
Technical Tools Mentioned:SQL, Python, Power BI, data architecture, data pipelines, machine learning engineering, ETL/ELT, version control, Excel, Agile
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Job Description

Role overview

This position is for a mid-level Data Scientist with a focus on the Retail business. The successful candidate will play a key role in designing, developing and improving scalable data science solutions and analytical products. The role requires a strong blend of data science, data architecture, data engineering and ML engineering capability, with a focus on innovation, product development and delivering practical business value.

The successful candidate will work closely with stakeholders across the Lightstone Group, as well as with clients outside the group. This will provide broad exposure to a wide range of business challenges, data environments and solution opportunities, while creating strong opportunities to learn new skills and contribute to impactful, data-driven outcomes.

The successful candidate will be responsible for contributing to a range of projects and team initiatives, including:

  • Designing and improving data architectures that support advanced analytics, machine learning solutions and scalable product delivery.
  • Building, optimising and maintaining robust data pipelines for the ingestion, transformation and delivery of data across multiple internal and external sources.
  • Developing, deploying and maintaining machine learning models and analytical solutions in collaboration with business and production stakeholders.
  • Investigating and evaluating new data sources, technologies and approaches to unlock new commercial opportunities and strengthen existing products.
  • Driving innovation through prototyping and development of new data-driven solutions, products and features.
  • Translating business problems into technical solutions and partnering with stakeholders to deliver practical, high-impact outcomes for internal and external clients.
  • Supporting and improving existing predictive models, analytical products and decision-support tools.
  • Contributing to best practices in code quality, documentation, solution design and deployment processes.
  • Providing input into technical direction, architecture decisions and continuous improvement within the team.
  • Sharing knowledge through peer coaching, technical discussions, team presentations and broader business updates.