Data Scientist

2 days ago

Johannesburg, Gauteng, South Africa The Skills Mine Full time

Requirements:

  • Degree in Computer Science or a related field (Master's Degree preferred but not required)
  • Graduate-level mathematical training (e.g., undergraduate degree in a quantitative subject)
  • 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, PowerBI, 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 BigQuery)
  • 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)
  • Full Data Science development lifecycle experience
  • 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 DataOps Engineering.
  • Work with DataOps 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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