Senior Data Scientist - Machine Learning

As a Hands-on developer, you will be responsible for building models in complex data environments with unambiguous requirements and enjoying working with data. Your main responsibilities will include: - Applying advanced causal inference techniques such as uplift modeling, propensity scoring, and Bayesian methods to enhance outage predictions measurement. - Developing forecasting models for predicting outages performance, resource allocation impacts, and long-term customer impacts for operations teams. - Improving ad testing methodologies like A/B testing, synthetic control experiments, and incrementally testing to accurately measure efficiency. - Optimizing operational team decisioning using reinforcement learning, Bayesian optimization, and econometric modeling. - Collaborating with data engineers to scale and automate model deployment, integrating ML solutions into production environments. Your qualifications should include: - Bachelor's Degree in a Quantitative Field (math, statistics, economics, computer science, physics, engineering, etc.) is required. - Master's/Advanced Degree in a Quantitative Field (math, statistics, economics, computer science, physics, engineering) is preferred. - Proven experience in Fault Prediction models, focusing 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 effectively communicate complex data science concepts to both technical and non-technical stakeholders, influencing business decisions. Please note that the job is located in Chennai with work hours from 06:00 PM to 02:00 AM IST.,