Software Engineer- Data Science

2 weeks ago

Johannesburg, Gauteng, South Africa Pulcosource (PTY) Ltd Full time R360 000 - R480 000 per year

Role Overview:

We are looking for a proactive and detail-oriented Maintenance Engineer to support the upkeep, performance, and evolution of our deployed data science solutions. You will play a key role in ensuring that models, data pipelines, and analytic tools remain robust, reliable, and fit-for-purpose post-deployment. This includes monitoring system performance, identifying technical debt, implementing improvements, and coordinating with data scientists, engineers, and business users to address evolving needs.

Key Responsibilities:

● Monitor and Maintain data science solutions in production (e.g., predictive models, dashboards, pipelines, APIs).

● Diagnose and resolve issues related to data drift, model performance degradation, and infrastructure reliability.

● Automate routine checks and health metrics (e.g., forecast accuracy, pipeline run success, data quality indicators).

● Update and patch data science applications and environments (e.g., dependency updates, version control, deprecation fixes).

● Collaborate with Data Scientists and Engineers to refactor, modularize, or improve codebases for maintainability.

Document maintenance processes and changes, ensuring traceability and knowledge sharing.

● Participate in incident response and troubleshooting, including root cause analysis.

● Ensure compliance with security, privacy, and regulatory requirements for maintained systems.

Required Skills and Experience:

● Bachelor's degree in Computer Science, Engineering, Applied Math, or related field.

● 2+ years of experience in a data engineering, MLOps, or software maintenance role.

● Solid understanding of data pipelines, model lifecycle, and productionized data science workflows.

● Proficiency in Python and R, including ability to debug and refactor code.

● Experience with SQL and managing/monitoring large-scale datasets.

● Familiarity with CI/CD tools, version control (e.g., Git), and containerization (e.g., Docker).

● Understanding of ML Ops / DevOps best practices, especially in a cloud-based environment (e.g., AWS, GCP, Azure).

● Strong debugging and troubleshooting skills, especially in production contexts.

● Attention to detail, curiosity, and a mindset geared toward continuous improvement.

Nice to Have:

● Experience with orchestration tools like Airflow, Dagster, or Prefect.

● Experience with monitoring/alerting tools (e.g. Grafana).

● Exposure to machine learning frameworks.

● Understanding of business KPIs and how data science solutions drive impact.

● Ability to communicate technical issues to non-technical stakeholders.

What Success Looks Like:

● Data science systems are running reliably with minimal downtime.

● Proactive maintenance reduces fire-fighting and technical debt.

● Stakeholders trust the outputs and performance of analytics products.

● Data scientists can focus more on innovation than support and fixes.

Candidates who hold a degree in Data Science or Data Engineering from the below Universities will only be considered:

UCT

Wits

Stellenborsch

UP

Regret no Diplomas

Job Type: Full-time

Pay: R35 000,00 - R40 000,00 per month

Ability to commute/relocate:

  • Johannesburg, Gauteng: Reliably commute or planning to relocate before starting work (Preferred)

Application Question(s):

  • What University did you study at and what degree do you possess?

Work Location: Hybrid remote in Johannesburg, Gauteng

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