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Job Description

Location : Chennai.


Work Hours :
06:00PM To 02:00 AM IST.

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.

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.


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