Job Title

Senior Data ScientistWe are seeking a highly skilled and experienced Senior Data Scientist – will develop leading, ground-breaking machine learning and AI-driven models for business use-cases. The Senior Data Scientist will collaborate with stakeholders, other data scientists, data engineers, machine learning engineers and analysts to develop sophisticated measurement frameworks, improve prediction models.Job Title: Senior Data ScientistJob 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.Required Qualifications:- Bachelor's Degree Quantitative Field (math, statistics, economics, computer science, physics, engineering, etc.) (Required) - Master's/Advanced Degree Quantitative Field (math, statistics, economics, computer science, physics, engineering) (Preferred) - Proven experience in Fault Prediction models, with a focus on attribution modeling, causal inference, and model mix optimization. - 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