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Senior Data Scientist

Senior Data Scientist

Sabenza IT & RecruitmentSandton, GT, za
11 days ago
Job type
  • Quick Apply
Job description

Job Description

Are you a data visionary ready to blend cutting-edge machine learning with the fast-paced world of alcohol distribution? Our client — a leader in the industry — is revolutionizing how data powers product recommendations, customer insights, and operational excellence and seeks a Senior Data Scientist

Join a dynamic, innovation-driven team where data meets flavour — and where your expertise will directly influence consumer experiences across South Africa.

Location : Sandton-Gauteng

What You’ll Do

  • Optimize technical design of the Product Recommender (PR) platform, in consultation with the Lead Data Scientist
  • Take ownership of daily operation of the PR platform
  • Work with the Product Owner, Lead Data Scientist and other technical team members to translate product requirements into technical tasks
  • Assist Product Owner with Sprint planning and prioritization
  • Coordinate technical team in line with Sprint goals
  • Oversee the creation of technical documentation
  • Review Pull Requests to ensure technical excellence
  • Review Sprint tasks to ensure best practices (proper descriptions, acceptance criteria, etc.)

Requirements

What You’ll Bring :

  • Advanced degree in computer science, statistics or related STEM field.
  • At least 7 years of ML engineering (or engineering support for data science) experience in an industrial / commercial setting.
  • Deep knowledge of ML algorithms and DS concepts.
  • Deep knowledge of Python software engineering and its ML stack.
  • Experience working with large data sets using PySpark and RDBMs.
  • Knowledge of application architectures and design patterns.
  • Proficient in development, deployment and end-to-end management of ML solutions in a cloud-hosted environment.
  • Experience with the design and implementation of MLOps frameworks (CI / CD and continuous monitoring)
  • Proficient in DevOps technologies like Docker and Kubernetes.
  • Proficient in the use of Azure cloud services and infrastructure.
  • Proficient in the use of version control systems (e.g., GIT).
  • Experience working in an Agile environment.
  • Ability to effectively communicate with business stakeholders to design data products that drive value.
  • Professional attitude and service oriented.
  • If you’re passionate about data, machine learning, and real-world impact, this is where your expertise will truly shine.

    Requirements

    What You’ll Bring :

  • Advanced degree in computer science, statistics or related STEM field.
  • At least 7 years of ML engineering (or engineering support for data science) experience in an industrial / commercial setting.
  • Deep knowledge of ML algorithms and DS concepts.
  • Deep knowledge of Python software engineering and its ML stack.
  • Experience working with large data sets using PySpark and RDBMs.
  • Knowledge of application architectures and design patterns.
  • Proficient in development, deployment and end-to-end management of ML solutions in a cloud-hosted environment.
  • Experience with the design and implementation of MLOps frameworks (CI / CD and continuous monitoring)
  • Proficient in DevOps technologies like Docker and Kubernetes.
  • Proficient in the use of Azure cloud services and infrastructure.
  • Proficient in the use of version control systems (e.g., GIT).
  • Experience working in an Agile environment.
  • Ability to effectively communicate with business stakeholders to design data products that drive value.
  • Professional attitude and service oriented. If you’re passionate about data, machine learning, and real-world impact, this is where your expertise will truly shine.
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    Senior Data Scientist • Sandton, GT, za

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