Principal Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Establish the vision and strategic pathway for leveraging data science, machine learning, and AI to enhance subscriber experiences, optimize network performance, and drive business results.

• Conduct and lead independent and collaborative research to create innovative models.

• Deliver and supervise the implementation of high-quality scientific solutions.

• Provide mentorship to both junior and senior data scientists.

• Collaborate with software engineering, data engineering, design, and AI solution directors to embed intelligence into scalable products and services.

• Promote advancements in data science, MLOps, decision science, predictive modeling, and AI ethics.

• Effectively communicate complex data science concepts and their implications to both technical and non-technical stakeholders.

• Identify opportunities for data improvements and partner with stakeholders to enhance data quality and pipelines.

• Provide comprehensive data science leadership across Sand and assist in scaling the industry team.

⛳️ Requirements

• A minimum of 5 years of experience in data science and machine learning.

• Proven history of independent research, development, and deploying machine learning models into production.

• M.Sc. or an equivalent advanced degree in Data Science, Machine Learning, Computer Science, Statistics, or a related quantitative discipline (preferably M.Sc.).

• Previous experience in the telecommunications industry is highly beneficial.

• Proficiency in Python.

• Extensive experience with at least one cloud service provider, preferably AWS.

• Demonstrated ability to mentor and support colleagues in developing their technical and professional skills.

• Proven capability to create roadmaps that address complex business challenges and to lead cross-functional teams effectively.

• Strong background in MLOps.

• Comprehensive understanding of the relationship between software/data engineering and data science.

• Commitment to robust software engineering practices.

• Strong foundation in statistics and machine learning algorithms.

• Willingness and capability to travel to client locations across the African continent.

🏝️ Benefits

• An internationally distributed and globally coordinated work environment.

• Access to virtual collaboration tools and video conferencing.

• Mentorship and ongoing professional development through team mentoring.