Share this Job

Predictive Maintenance Data Scientist

Apply now »

Date: Aug 12, 2022

Location: Corning, NY, US, 14831

Company: Corning

Job Title: Predictive Maintenance Data Scientist

Job ID: 54947

Job Location: Corning, NY


Corning is one of the world’s leading innovators in materials science! For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people’s lives. Corning Incorporated focuses on building a diverse global workforce where differences are celebrated, and employees feel safe bringing their “whole selves” to work. Our Diversity Network hosts 18 active and distinctive Employee Resource Groups. Employees have access to Allyship resources, podcasts, an internal video channel, digital learning series and trainings, all focused on building and celebrating global diversity and inclusion. Corning has been recognized as a leader in this regard and has been consistently recognized as a national employer of choice.

Scope of the position

Do you want to be part of a unique opportunity to join a growing team that is demonstrating value and driving business impact within Corning Incorporated? We are increasing our application of advanced analytics and expert systems to our growing manufacturing capabilities. New manufacturing measurements and controls systems provide vast amounts of untapped process and product data. Your responsibilities will include transforming our data assets into strong internal insights that drive strategic solutions to deliver large value impact. You will act as a key member of multi-disciplined teams solving diverse challenges as you work across the many businesses that comprise Corning.

Key Responsibilities

• Successfully identify the real problem from the customer’s point of view to build and execute predictive maintenance work plans that deliver business impact.

• Communicate technical analyses and results to division customers.

• Perform exploratory and targeted data analysis using commercial and open source data analytic software packages.

• Apply multivariate statistical methods and machine learning techniques to find structure and value in both large and small data sets to identify key process input variables that can feed process control solutions.

• Develop predictive/classification models for use in production and possible applications.

• Write technical reports summarizing development, application, and validation of the technical analysis

Travel Requirements

• Travel requirements will vary.

• Expected travel up to 25% both Domestic and International

Required Education

• MS In an Engineering discipline with certification in deep learning and convolutional neural networks.

• Experience in a relevant area such as Data Science, Statistics, Analytics, Machining Learning, Deep Learning OR Reliability Engineering / Predictive Maintenance a MUST

• Technical experience with at least two of the following software tools and languages: Python, Matlab, R, Labview, C, C++, Simulink, JMP • Framework and Libraries: TensorFlow, Keras, PyTorch NumPy, Scipy, Pandas, Jupyter

Range of Required Skills:

• Your ability to show the relevance of the applied techniques in machine learning and Predictive Maintenance. Prioritize work across multiple projects will be critical.

• Serve as an Analytics Translator for multiple business groups by understanding the business need and determining how analytics can help projects and businesses achieve their goals.

• Identify analytics and ML opportunities, build internal proposals, and gain stakeholder buy-in.

• Work with senior data scientists to develop and grow the overall predictive maintenance analytics capability of the company.

• Your passion, knowledge of, and experience applying multivariate statistical analysis algorithms including intelligent automation techniques for classification, regression, and clustering. For example, decision trees, random forest, SVM, logistic regression, neural networks, k-means clustering, and Bayesian models. • Demonstrated experience with a broad base of analysis and visualization tools (i.e. Python, R, MATLAB, SAS JMP, Power BI, Tableau).

• Strong attention to detail and organizational skills. • Ability to work collaboratively in a team environment across stages of innovations.

• Ability to communicate the outcome of complex and/or technical concepts in a clear manner to a non-analytical group and take on challenges specific to analyzing disparate data sources.

• Transition proof-of-concept analysis and models into deployed production applications

Range of Desired Skills:

• Familiarity with ETL tools for data extraction, data cleansing, and data manipulation.

• Experience applying time series analysis (i.e. ARIMA, Fourier analysis).

• Software version control experience (i.e. git).

• Knowledge of deep learning techniques (i.e. CNN, RNN) and software packages such as TensorFlow, Keras, etc.

• Familiarity with big data ecosystem (Spark, Hadoop, HIVE, etc) and cloud-based storage and compute environments (AWS, MS Azure)

• Software development experience in C, C++, and/or C#


This position does support immigration sponsorship. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We prohibit discrimination based on race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, or veteran status or any other legally protected status.

Nearest Major Market: Corning