Accelerate data-driven decision making across Fiber-to-the-Premises (FTTP) business at the company
Requirements
- Strong programming skills in Python (pandas, scikit-learn, TensorFlow/PyTorch, MLflow); R is a plus.
- Solid ML fundamentals including regression, classification, clustering, and time-series forecasting.
- Advanced SQL skills and experience working with large, complex datasets.
- Hands-on BI experience with modern visualization tools and strong data storytelling ability.
- Experience with AWS.
- Familiarity with LLMs and generative AI concepts.
- Proficiency with Git, CI/CD pipelines, and ML Ops practices.
Responsibilities
- Build, train, fine-tune, and deploy ML models for churn prediction, demand forecasting, network optimization, and service-risk scoring.
- Perform model validation, feature engineering, and performance monitoring to ensure accuracy and scalability.
- Develop scalable data pipelines and collaborate with data engineering to maintain data quality across BSS/OSS systems.
- Analyze FTTP data across construction, activation, utilization, service quality, and support processes.
- Design BI dashboards and reports that track critical KPIs for network, operations, CX, and finance using Tableau, Power BI, Looker, or open-source equivalents.
- Present insights through clear, structured data storytelling for technical and business stakeholders.
- Maintain documentation, code quality, and best practices in ML Ops, CI/CD, and version control workflows.
Other
- Master’s degree (or equivalent experience) in Computer Science or related field, with 4+ years of progressive, hands-on experience.
- Comfortable working in a dynamic, fast-paced start-up culture.
- Travel requirements not specified
- Clearance requirements not specified
- Background in telecom, broadband, utilities, or other data-rich operational domains is a plus
