Senior Data Scientist

The Data Scientist will be a key contributor to data and software solutions supporting next-generation semiconductor (SiC) manufacturing at all Coherent sites world-wide. The focus of this role is to implement machine learning / artificial intelligence technology to optimize metrology, quality, and manufacturing efficiency.

A successful candidate would be an inquisitive and resourceful individual with a strong background in machine-learning / artificial intelligence, especially in an environment where labeled datasets need to be constructed from the ground up. General knowledge in manufacturing, engineering, or natural sciences is strongly preferred. Excellent communication skills and the ability to work both independently and within a team are indispensable for the role. The primary job location can be either Pine Brook, NJ, or Easton, PA.

Primary Duties & Responsibilities

• Design roadmaps for strategic machine-learning / artificial intelligence (ML/AI) initiatives: from constructing datasets to delivering business impact. Typical areas of application include image recognition and decision modelling.
• ML/AI system design for scalable application within operational and infrastructural constraints.
• Build, tune, validate, monitor, and improve machine-learning models.
• Collaborate with data engineers and software engineers to integrate ML/AI solutions with existing and planned data infrastructure and data visualization systems.
• Collaborate with process engineering, operations, R&D, and product management teams to utilize domain-specific knowledge.
• Collaborate with business stakeholders, define new opportunities for AI / ML applications.

Education & Experience

• Holding or pursuing a PhD degree in a qualified STEM discipline such as statistics, mathematics, computer science, physics, engineering, or equivalent practical experience.
• Proven record of successful machine-learning projects involving elements of both dataset construction and model building.
• 2+ years of ML/AI-centric experience in industry, government labs, or universities is preferred.

Skills

• Mastery of machine learning, mathematical modelling, statistical analysis, and scientific reasoning.
• Hands-On expertise in building machine-learning models in the area of image recognition or decision-modelling.
• Hands-On expertise in SQL, Hadoop, Aparche Spark or a similar data framework.
• Proficiency in Python, C#, or other modern programming languages.
• Familiarity with foundational computer science topics, such as algorithms, data structures, and complexity analysis.
• Due to trade restriction compliance, this position requires candidates to be a U.S. Citizen, Permanent Resident Alien, or Protected Individual per 8 U.S.C.1324b(a)(3).

Working Conditions

• Primarily office work, with regular visits to factory floors.
• Must be comfortable working in vicinity of chemicals and machinery.
• To support global sites in different time zones, occasional meetings at night or during weekends may be required.

Physical Requirements

• Long periods of sitting or standing (up to 4 hours at a time).

Safety Requirements

All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards.

Quality and Environmental Responsibilities

Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System.

Culture Commitment

Ensure adherence to company’s values (ICARE) in all aspects of your position at Coherent Corp.:

Integrity – Create an Environment of Trust

Collaboration – Innovate Through the Sharing of Ideas

Accountability – Own the Process and the Outcome

Respect – Recognize the Value in Everyone

Enthusiasm – Find a Sense of Purpose in Work

Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.