Overview
Data Scientist Jobs in Johannesburg, South Africa at The Skills Mine
Minimum Requirements:
Degree in Computer Science or a related field (Master’s Degree preferred but not required)
3+ years of experience in a Data Scientist role or similar, focusing on data analysis, visualization, Machine Learning, and AI
Proficient in Python and object-oriented programming principles
3+ years of experience with Tableau, Power
BI, or similar dashboard tools
3+ years of experience with SQL
Strong experience with cloud platforms (AWS, Azure, GCP) and cloud-based data services (e.g., AWS Athena, Redshift, Google Big Query)
Solid understanding of data modeling
Experience with version control systems (e.g., Git)
Experience delivering Data Science, Machine Learning, and AI projects in production environments using agile methods
Ability to present insights effectively through dashboarding tools like Tableau or Looker Studio
Knowledge of data governance, security, and privacy practices
Strong problem-solving, research, and troubleshooting skills for complex data issues
Excellent communication and collaboration skills for cross-functional teams
Ability to work in fast-paced environments, manage multiple priorities, and meet deadlines
Experience with complex data sets and providing actionable insights
Strategic thinking, multitasking, and a collaborative work approach
Experience with coaching and mentoring team members
Experience with API development for exposing ML / AI models (e.g., FastAPI)
Experience working remotely (desirable)
Interest or experience in behavior change theories (desirable)
Experience with sensitive, healthcare-related data (desirable)
Familiarity with Figma (optional)
Responsibilities:
Evaluate and implement new technologies in Data Science, Machine Learning, and AI.
Contribute to the development and execution of the Data Science strategy.
Provide evidence-based recommendations to guide strategic program implementation.
Measure and analyze project impact to assess goal achievement.
Drive data collection and refine existing data sources.
Collaborate on MLOps best practices, including CI / CD, model monitoring, and production scaling with Data Ops Engineering.
Work with Data Ops Engineering to build automated impact measurement frameworks (e.g., A / B testing, causal inference).
Foster cross-disciplinary collaboration within the team to extract value from diverse skill sets.
Collaborate with multidisciplinary teams to implement programs effectively.
Partner with Monitoring and Evaluation, Strategy, Experience Design, Engineering, and SRE teams to develop monitoring tools for impact measurement.
Define and maintain KPIs to track the success of data initiatives.
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Title: Data Scientist
Company: The Skills Mine
Location: Johannesburg, South Africa
Category: IT/Tech (Machine Learning/ ML Engineer, Data Analyst, Data Scientist, AI Engineer)
