Data Scientist

Job description

Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world’s largest designers and manufacturers of electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. ACS has an expansive global presence in research and development, manufacturing, and sales. We design and manufacture a wide range of innovative connectors as well as cable assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and automotive.

Position: Data Scientist

Location: Etters, PA

Amphenol High Speed Products Group is the market leader for high-speed, high-bandwidth electrical connectors, cables, and systems for the Datacom/Telecom market (AI, ML, GPUs, Servers, Switches, Routers, Storage). Our products help to enable the artificial intelligence revolution by helping major Tier 1 Hyperscale Data Centers, their OEMs and break-out AI customers to innovate globally. Our global headquarters is in Nashua, NH and we have engineering, sales, and manufacturing locations globally. We are currently seeking a Data Scientist to join our engineering team.

RESPONSIBILITIES:

The Data Scientist will apply statistical modeling, machine learning, and advanced analytics to engineering data. Working alongside data analysts and software engineers, you will tackle complex, ambiguous problems and turn data into insight that drives engineering decisions.

KEY RESPONSIBILITIES:

Design and build statistical and machine learning models to solve engineering problems, such as predicting failures, optimizing processes, or identifying trends

Partner with engineering stakeholders to translate open-ended questions into well-scoped 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 them into existing systems and workflows

Validate model performance and monitor models in production, retraining or adjusting as needed

Communicate findings, methodologies, and recommendations clearly to both technical and non-technical stakeholders

Stay current on statistical and machine learning techniques and evaluate their applicability to engineering problems

QUALIFICATIONS:

A good candidate should have 3+ years of experience in a data science or applied statistics role.

Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field required. MS or PhD preferred.

Solid understanding of statistical methods and machine learning techniques

Comfort working with messy, real-world data, including cleaning, reconciling, and validating across multiple sources

Strong communication skills, able to explain complex methodologies to non-technical stakeholders

TECHNICAL EXPERTISE:

Strong proficiency in Python (scikit-learn, pandas, numpy, or similar) for model development

Experience with SQL for querying and preparing data

Amphenol Corporation is proud of our reputation as an excellent employer. Our focus is to provide the highest level of support and responsiveness to both our employees and our customers, the world's largest technology companies. Amphenol Corporation offers the opportunity for career growth within a global organization. We believe that Amphenol Corporation is unique in that every employee, regardless of his or her position, has the ability to positively impact the business.

Amphenol is an “Equal Opportunity Employer” - Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity/National Origin. For additional company information please visit our website at

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Who can apply

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