Data Scientist

Job Description:- We are seeking a highly skilled with 5+ years of experienced Data Scientist – will develop leading, ground-breaking machine learning and AI-driven models to predict RAN Network faults, measure effectiveness, and drive business outcomes. This role sits within the data science analytics team, which provides actionable insights to enhance network availability through data-driven analytics with very high precision and recall rates. Job Title: Data Scientist Job Responsibilities: • Hands-on developer in building models in complex data environments with unambiguous requirements and enjoys data. • Advance causal inference techniques to improve outage predictions measurement, including uplift modeling, propensity scoring, and Bayesian methods. • Develop forecasting models to predict outages performance, resource allocation impacts, and long-term customer impacts for operations teams. • Enhance ad testing methodologies, including A/B testing, synthetic control experiments, and incrementally testing, to measure efficiency accurately. • Optimize operational team decisioning, using reinforcement learning, Bayesian optimization, and econometric modeling. • Work closely with data engineers to scale and automate model deployment, integrating ML solutions into production environments. Skills: • Strong background in machine learning, fault metrics, and statistical modeling RAN applications. • Expertise in Python, SQL, and cloud platforms (Azure, Snowflake, Databricks) for scalable modeling and data processing. • Experience with experimental design and incrementality testing in telecom RAN networking subject areas. • Ability to communicate complex data science concepts to both technical and non-technical stakeholders, influencing business decisions