Veeco

Data Scientist

Job description

About Veeco

You probably don’t realize it, but what we do at Veeco touches the lives of every person, every day. It’s a bold statement, but it’s true. From the smartphones in our pockets that access the world’s collective knowledge, to the cloud-based services where all that information lives, to high-speed wireless communication and computing power needed to drive artificial intelligence, augmented and virtual reality, gaming and so much more, our technology is all around us.

We design, develop, manufacture, and service highly complex, cutting-edge machines used by our customers to create the essential devices that drive the digital age, connect the world, and improve the human experience. Along with the world’s leading technology companies, many of which are household names, we help solve their most difficult material science challenges, enabling technologies for a more connected, sustainable, and convenient world.

We’re looking for material difference-makers to join our growing team. Interested? Learn more at www.veeco.com/careers.

Overview

The Data Scientist will work with Engineering, Technology and Product Line Marketing to develop analytical models and solutions to enhance the performance of Veeco products (including laser annealing, ion beam etch and deposition, MOCVD and other product lines) to provide greater value to our customers through data analytics, advanced fault detection, predictive maintenance, and machine learning.

Responsibilities
  • Develop an in-depth understanding of the existing data streams available to be leveraged, and collaborate with engineering and technology to identify new/additional sensors and/or data streams needed to provide the most impactful and actionable data for our customers
  • Mine, aggregate, cleanse and analyze data from diverse streams to identify predictive maintenance opportunities and/or opportunities for greater yield and process efficiencies for our customers
  • Work with internal product and technology experts, as well external consultants and specialists to develop robust and scalable solutions using data analytics and machine learning
  • Develop clear, understandable specifications translate the technical, product and customer requirements into data analytics and machine learning terminology to ensure that solutions developed solve the most impactful challenges
  • Test and validate the machine learning and data analytics solutions to ensure that requirements are met
  • Act as a point of communication and coordination between the internal and external experts
  • Act as a subject matter expert, providing guidance and training to internal engineers and technologists and data science and machine learning methodologies as applied to our product
Qualifications

Bachelors degree in a relevant field, including electrical, chemical, materials or software engineering, or in physics, chemistry, applied mathematics or statistics and a minimum of 5 years of experience in data science/analytics and machine learning or a Masters degree and 3 years of experience..

Knowledge, Skills And Abilities
  • In-depth knowledge and experience with Python, R, C/C++, JAVA or similar
  • Excellent verbal, written and listening communication skills, and comfortable communicating internally and externally with people from diverse functions
  • Experience writing technical specifications and validating that the solution meets those specifications
  • Solid mathematics and statistical data analysis capability
  • Ability to travel domestically 10%
Notice for Colorado applicants as required by CO SB19-085. Target annual salary for this role performed in Colorado is 78,276.20 + bonus + benefits (including medical, dental, vision, 401(k), employee stock purchase plan, tuition reimbursement, etc.).

Veeco is an Equal Opportunity/Affirmative Action Employer. Applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, protected veteran status, disability, or any other characteristics protected by applicable federal, state or local law.

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