Data Scientist-Singapore
Core
Analyze and model operational expenditure (OPEX) for mobile towers using machine learning and statistical techniques to forecast costs and detect anomalies.
Role type
Senior IC data scientist (telecom OPEX)
Builds
Predictive models and forecasting algorithms for cost optimization
Domain
Telecom industry, operational expenditure analysis
Deliverable
production ML models
Required skills
Machine learning, statistical analysis, predictive analytics, Python, R, Scala, SQL, data visualization, big data technologies (Hadoop, Spark), telecom domain knowledge (mobile networks, tower infrastructure, OPEX components)
Preferred skills
Feature engineering, anomaly detection, process improvement
Technologies
pandas, NumPy, scikit-learn, TensorFlow, Tableau, Power BI, matplotlib, Hadoop, Spark
Responsibilities
Analyze and model OPEX associated with operating mobile towers; Leverage ML models to forecast cost and implement anomaly detection; Develop and implement advanced data analytics methodologies to extract insights from complex OPEX datasets; Identify patterns, trends, and anomalies in OPEX data to generate actionable insights; Develop data visualizations and reports to communicate findings to stakeholders; Collaborate with cross-functional teams to gather requirements and understand business context.
