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Data Scientist Principals #IN1291

Cummins • Columbus, IN, US • published 2026-10-11 09:03:30.494858

Description

Lead advanced analytics initiatives to solve complex business problems using quantitative analysis, statistical modeling, and machine learning techniques. Design, develop, and deploy machine learning models to support decision systems, recommendation and next best action frameworks, anomaly detection, pattern recognition, and forecasting/time series analysis. Liaise with business stakeholders and leverage knowledge to industrialize and monetize insights from advanced analytics projects. Research, implement, and validate advanced analytical and algorithmic methods, including causal inference, impact measurement, predictive modeling, clustering, and optimization techniques, to quantify business outcomes and evaluate the effectiveness of data driven interventions. Apply statistical inference and data mining techniques to analyze large, diverse datasets and identify meaningful relationships, trends, and drivers of performance. Develop and support scalable, end to end analytics and machine learning solutions, including data processing pipelines and model lifecycle management practices, using commonly used programming languages and distributed data processing frameworks. Support both bat...

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