Data Scientist

2 weeks ago

Johannesburg, South Africa The South African Breweries Full time
Job title : Data Scientist - HQ SandtonJob Location : Gauteng, JohannesburgDeadline : December 13, 2024Quick Recommended Links
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The Data Scientist role as such is responsible for:

Model Development & Optimization

  • Design, build, and optimize machine learning models, statistical techniques, and business logic to solve high-impact problems.
  • Collaborate closely with Data Analysts to conduct rigorous testing, monitor model health, and implement enhancements based on performance insights.
  • Work in tandem with Data Engineers to facilitate seamless implementation and deployment, coordinating timelines and technical requirements.

Technical Collaboration & Backlog Prioritization

  • Align with Product Owners (POs) on backlog management, model prioritization, and task sequencing to maintain focus on high-impact projects.
  • Effectively translate complex technical tasks into organized development routines and timelines, ensuring that the PO and other stakeholders have a clear understanding of model progress and expectations.
  • Act as a technical partner in discussions with Data Engineers, contributing to conversations on data architecture and engineering needs.

Documentation & Stakeholder Communication

  • Document all model developments, feature updates, and optimizations, providing comprehensive technical details.
  • Support the PO in translating technical documentation for commercial teams, ensuring alignment and clarity on algorithm functionality and commercial implications.

Business Insight & Strategy Alignment

  • Apply strong business acumen to ensure models address relevant business questions and drive impactful insights.
  • Maintain awareness of business challenges, continuously refining models to meet changing business demands and enhance strategic value.
  • Stay current with industry trends and emerging methodologies, continuously integrating best practices to enhance model relevance and effectiveness.

Minimum Requirements:

  • Degree in Mathematics, Statistics, Data Science, or a related field with a strong foundation in calculus, linear algebra, probability, and statistics.
  • Proficiency in SQL, Python, and PySpark, with extensive programming knowledge.
  • Expertise in machine learning techniques, statistical modeling, classical optimization, and search algorithms.
  • Strong knowledge of data engineering concepts and data architecture, important for facilitating technical conversations with engineering counterparts.
  • Very strong problem-solving skills with an ability to manage complexity and ambiguity.
  • Proven track record managing all aspects of a successful product throughout its lifecycle.
  • Knowledge and experience with the application of CRISP-DM and Agile methodologies.
  • Ability to translate complex technical tasks into organized routines and timelines; Must be able to translate backlog and timelines through Product Manager to ensure commercial teams have clear understanding of expectations for algo development & implementation.
  • An extensive data science background is critical, and experience in sales/operations roles is a plus, but not required.

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