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Data Scientist

Data Scientist

TumainiGauteng, South Africa
4 days ago
Job description

Machine Learning Engineer

Centurion, Gauteng R - R Y AO Connect Solutions

Posted today

Job Description

Purpose of the Role

The Machine Learning Engineer is responsible for deploying, monitoring, and maintaining ML models in production. They turn prototype models into scalable, production-grade systems by building automated pipelines, integrating with infrastructure, and ensuring data and model quality. They work closely with Data Scientists, Data Engineers, and MLOps Support to ensure models are reliable, performant, and aligned with business objectives.

  • Translate models from notebooks to reusable, production-grade code.
  • Build CI / CD pipelines for ML (unit tests, integration tests, automated deployment).
  • Manage versioning of code, data, and models (e.g., Git, DVC).

Monitoring, Scaling & Performance

  • Monitor live models for drift, latency, and failure.
  • Tune models and pipelines for performance and cost-efficiency.
  • Implement load testing and alerting (Prometheus, Grafana, Azure Monitor).

    • Data Integration & Governance

  • Collaborate with Data Engineers to manage feature pipelines and real-time data flow.
  • Ensure training / inference data meets governance and compliance requirements.
  • Implement Feature Store solutions where relevant (e.g., Azure Feature Store).

    • Documentation & Support Enablement

  • Provide clear documentation for handover to MLOps support.
  • Define IAM roles and controls for model access across dev / test / prod.
  • Lead training or walkthroughs for deployment best practices.
  • Introduce modern techniques like streaming inference, canary deployments, or serverless ML.
  • Participate in post-mortems and incident reviews to strengthen MLOps maturity.

    • Required Skills & Experience

    Education

  • Bachelor's degree in Computer Science, Data Science, Engineering, or similar.
  • Master's degree preferred.

    • Experience

    Intermediate

    2–3 yrs Deploy models, build basic CI / CD, script pipelines

    Senior

    4+ yrs Scale production ML, lead infra design, mentor others

    Technical Skills

  • Languages : Python (required), PySpark, SQL.
  • Data Tools : Spark, Kafka (bonus).

    • Competency Expectation

  • Problem Solving : Debug and optimise model pipelines; fix deployment failures
  • Innovation : Automate, optimise, and introduce emerging MLOps practices
  • Communication : Explain infra to both technical and non-technical stakeholders
  • Teamwork : Collaborate across DS, DE, and Support; mentor juniors
  • Change Advocacy : Champion new tools, frameworks, or practices in ML lifecycle

    • Performance Metrics

  • Model latency, throughput, and drift over time.
  • Business value metrics linked to model performance (e.g., cost savings, conversion).

    • Data Scientist

    Posted today

    Job Description

    Decision Inc. is currently looking for young and ambitious Data Scientist to join our Data Information and Analytics team as client-facing, permanently employed consultant. Good communication and collaboration skills are therefore essential, as well as great statistical ability on at least one platform (R, Python, SAS or SPSS). There will be exposure to a wide range of industries, so the ability to quickly understand new business environments is essential.

    Who Are We?

    Decision Inc. is a leader in enabling its clients to make better decisions, faster. The Companys foundation is built in technology; however, what makes us unique is our understanding of effective decision making.

    We represent the following leading global technology brands and are experts in the implementation, support and execution of these technologies : Qlik, Microsoft BI (SQL, SSIS, SSRS, SSAS, PowerBI), Tableau, R, Python, Alteryx and SAP.

    What Will You Do?

  • Identify and develop Predictive and Prescriptive Models to enable better decision making for our clients
  • Participate in analysis and design sessions work with business analysts to determine the best fit solution for our clients
  • Delve for insights in client data and processes to help improve their businesses
  • Integrate Models into existing or new BI solution with the rest of the consulting team
  • Communicate progress with client and project teams
  • Produce insight and recommendation reports and presentations

    • Who Do You Need To Be?

    Candidates must have a relevant qualification in

  • Actuarial Science
  • Masters in Applied or Pure Mathematics, Statistics, Economics or any other relevant analytical field
  • CA(SA)

    • OR

  • BEng, BSc (preferably Honours), BComm (preferably Honours)
  • 3 Years working experience in SQL or Oracle
  • 2 Years working experience in either R, Python, SAS, MATLAB, Rapid Miner or SAP Predictive Analytics
  • Be in possession of a valid drivers license and own transportation

    • Whats in it for you?

  • Exposure to multiple clients across a various of industry verticals (Retail; Manufacturing; Logistics; Telcos; Financial Services; Mining; Public Enterprise)
  • Success driven culture that rewards great performance
  • Excellent training opportunities - We place a big focus on up skilling our employees to be the best they can be and will assist you obtaining your certifications within your relevant technology
  • We believing in cross skilling and offer our consultants an opportunity to be exposed to multiple Stats, BI and Data technologies
  • When joining the company a clear Career Development Plan will be drawn up for you to help you reach the next level in your career

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    Data Scientist • Gauteng, South Africa

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