onsite
Senior Data Scientist - Zayo
Data Scientist
Lead advanced analytics initiatives, building predictive models and data pipelines using Python, Machine Learning, and cloud services to drive strategic decisions and optimize network performance.
About the role
Key Responsibilities
- Design, develop, and deploy machine‑learning models to predict network demand, detect anomalies, and improve service quality.
- Build and maintain scalable data pipelines and ETL processes on AWS to support large‑volume telemetry and customer data.
- Collaborate with engineering, product, and business teams to translate business problems into analytical solutions and actionable insights.
- Perform exploratory data analysis, statistical modeling, and feature engineering using Python and SQL.
- Mentor junior data scientists and promote best practices in reproducible research, model monitoring, and documentation.
Requirements
- 5+ years of professional experience in data science or advanced analytics, preferably in telecommunications or network services.
- Strong proficiency in Python, including libraries such as pandas, scikit‑learn, and TensorFlow or PyTorch.
- Hands‑on experience with cloud platforms (AWS) and services like S3, Redshift, and SageMaker.
- Expertise in SQL for data extraction, transformation, and analysis from relational databases.
- Demonstrated ability to communicate complex technical concepts to non‑technical stakeholders and drive data‑informed decision making.
Skills
pythonmachine learningsqltensorflowaws