Senior Data Scientist

Market insights

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Description

Accountabilities - Lead the development, implementation, maintenance, and continuous improvement of machine learning, LLM, and automation projects. - Process, clean, transform, and analyze large-scale network and device telemetry datasets to create reliable inputs for modeling and decision-making. - Design and implement feature engineering strategies that improve model accuracy, interpretability, robustness, and overall performance. - Use Python and SQL to explore complex datasets, build analytical pipelines, and deliver reproducible, high-quality results. - Develop and evaluate machine learning models for use cases such as anomaly detection, forecasting, and system optimization. - Translate product and business requirements into clearly defined analytical problems, project scopes, and model development plans. - Collaborate with engineering and product teams to integrate machine learning models into production systems and ensure they deliver measurable value. - Balance experimentation with execution by prioritizing high-impact work and delivering reliable insights and models within demanding timelines. - Contribute to MLOps workflows, including model deployment, validation, monitoring, and ongoing performance improvements. - Identify opportunities to apply AI and automation techniques to improve operational efficiency, analytical capabilities, and connected-device experiences. - Communicate findings, technical approaches, and model outcomes clearly to cross-functional stakeho

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