Data Scientist: Engineering ML for Predictive Insights

Amphenol ICC; Yocumtown (PA); On-site; USD 110,000 - 150,000; Full time

Job summary

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

You will design models to predict failures, optimize processes, and uncover trends, while translating questions into analytical projects and communicating results to stakeholders across technical and

Qualifications

• Bachelor-level degree in a quantitative field is required; MS/PhD preferred.
• Strong foundation in statistics and ML techniques.
• Comfort with messy real-world data and data cleaning across sources.
• Excellent communication skills to explain methodologies to non-technical stakeholders.

Responsibilities

• Design and build statistical and ML models to solve engineering problems.
• Translate open-ended questions into well-scoped analytical projects with stakeholders.
• Analyze large, complex datasets to identify patterns and insights.
• Collaborate with analysts and engineers to productionize models and integrate them into workflows.
• Validate model performance and monitor models in production; retrain as needed.
• Communicate findings and recommendations clearly to technical and non-technical audiences.
• Stay current with statistical and ML methods and assess applicability to engineering problems.

Skills

Statistical modeling

Machine learning

Data analysis

Communication

Education

BSc in Data Science/Statistics/Applied Math/CS

MS/PhD preferred

Tools

Python (scikit-learn)

SQL

Job description

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

You will design models to predict failures, optimize processes, and uncover trends, while translating questions into analytical projects and communicating results to stakeholders across technical and