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Principal Data Scientist

2 months, 2 weeks ago
South Africa
Full-time
Lead
Data Scientist
Data Science and Analytics
AWS Machine Learning MLOps Python Statistics
Apply Now
Sand Technologies

Sand Technologies

Sand Technologies is a leading provider of enterprise AI solutions, offering cutting-edge technology to solve complex challenges. With a focus on outcomes over hype, we work with global enterprises to identify meaningful AI use cases, develop custom al...

Internet Software & Services
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Description

  • Set the vision and strategic roadmap for applying data science, machine learning, and AI to complex telecommunications problems.
  • Lead independent and collaborative research to develop cutting-edge models with high-impact outcomes.
  • Mentor junior and senior data scientists and foster a culture of continuous improvement and innovation.
  • Coordinate with software engineering, data engineering, design, and AI solution directors to build scalable products and services.
  • Advance the team’s use of data science, MLOps, decision science, predictive modeling, and AI ethics.
  • Communicate complex data science concepts and business impacts to technical and non-technical stakeholders.
  • Work with stakeholders to improve data quality and data pipelines.
  • Provide broader data science leadership across Sand and help scale the industry team.
  • Operate effectively in small teams while contributing to globally coordinated efforts.

Requirements

  • 5+ years of experience in data science and machine learning.
  • Proven track record of independent research, development, and deploying machine learning models into production.
  • M.Sc. or equivalent advanced degree in Data Science, Machine Learning, Computer Science, Statistics, or a related quantitative field preferred.
  • Prior experience in the telecommunications industry is highly advantageous.
  • Fluency in Python.
  • Strong experience with at least one cloud provider, preferably AWS.
  • Demonstrated experience mentoring colleagues and supporting their technical and professional growth.
  • Proven ability to create roadmaps and lead cross-functional teams at scale.
  • Strong MLOps background and understanding of software engineering, data engineering, and data science integration.
  • Strong background in statistics and machine learning algorithms; experience in causal data science is beneficial but not essential.
  • Comfort operating in internationally distributed, highly collaborative teams using virtual collaboration tools and video conferencing.
  • Strong ownership, self-motivation, discipline, and clear communication skills.

Interested in this position?

Apply directly on the company website

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