Giggso - Senior Data Scientist - Machine Learning/Statistical Modeling

3 days ago


Chennai India Giggso Full time

Job Description Description - 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 Work Hours - 06 : 00PM To 02 : 00 AM IST (ref:hirist.tech)



  • Chennai, India Giggso Full time

    Description : - 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...

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