Data Scientist - Engineering ML & Analytics

Amphenol ICC; Yocumtown (PA); In loco; USD 100.000 - 140.000; Tempo pieno

Descrizione del lavoro

Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is seeking a Data Scientist to join our engineering analytics team in Etters, PA. You will apply statistical modeling and machine learning to engineering data, collaborating with analysts and software engineers to drive data-driven decisions.

Responsibilities include designing models to predict failures, optimize processes, and identify trends, and translating findings for both technical and non-technical stakeholders

Competenze

• 3+ years of experience in a data science or applied statistics role.
• Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or related field; MS/PhD preferred.
• Strong communication skills and ability to explain complex methodologies to non-technical stakeholders.
• Experience working with messy, real-world data, cleaning and reconciling across sources.

Mansioni

• Design and build statistical and machine learning models to solve engineering problems (e.g., predicting failures, optimizing processes, identifying trends).
• Partner with engineering stakeholders to translate questions into analytical projects.
• Explore and analyze large, complex datasets to uncover patterns and insights.
• Collaborate with data analysts and software engineers to productionize models and integrate into workflows.
• Validate model performance and monitor models in production, retraining as needed.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.

Conoscenze

Python

SQL

Statistics

Machine Learning

Communication

Formazione

Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field

MS or PhD preferred

Descrizione del lavoro

Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is seeking a Data Scientist to join our engineering analytics team in Etters, PA. You will apply statistical modeling and machine learning to engineering data, collaborating with analysts and software engineers to drive data-driven decisions.

Responsibilities include designing models to predict failures, optimize processes, and identify trends, and translating findings for both technical and non-technical stakeholders