Principal Data Scientist

We are looking for an impact-driven Principal Data Scientist to join our telco team. Operating at the intersection of strategic vision and advanced technical execution, the Principal Data Scientist is ultimately accountable for delivering high impact solutions to our most challenging problems using data science and machine learning within our Telecommunications domain.

In this role, you will design innovative roadmaps, deliver on and oversee high-quality science implementation, and mentor our data science team, leading by example in a world-class science function. You will collaborate closely in a cross-functional team to deliver robust, scalable ML solutions, ensuring we apply the latest techniques to solve complex industry challenges and drive data-driven decision-making.

• Set the Vision & Roadmap: Set an innovative vision for how we can positively impact subscriber experience, network performance, and business outcomes using data science/ML/AI. Develop strategic roadmaps to solve complex Telco problems.
• Science Implementation: Conduct and lead independent, collaborative research to develop cutting-edge models, ensuring high-quality, impactful outcomes.
• Mentor the Team: Mentorship of junior and senior data scientists within the industry, fostering a culture of continuous improvement and innovation.
• Drive Cross-Functional Alignment: Coordinate closely with software engineering, data engineering, design, and AI solution directors to integrate intelligence into scalable products and services.
• Advance the Practice: Ensure the team applies the latest techniques in data science, MLOps, decision science, predictive modeling, and AI ethics.
• Collaborate with Stakeholders: Communicate complex data science concepts and impacts to both technical and non-technical stakeholders, coordinating across a complex network of partners.
• Optimize Data Foundations: Identify how data should be improved and work closely with stakeholders to improve data quality and pipelines.
• Contribute to Leadership: Provide overall data science leadership across Sand, setting the industry team up to scale.

• 5+ years of experience in data science and machine learning, with a proven track record of independent research, development, and putting machine learning models into production.
• M.Sc (preferably) or equivalent advanced degree in Data Science, Machine Learning, Computer Science, Statistics, or a related quantitative field.