Intern - Data Science and Statistics

Key Skills

AWS, Dask - Python library, Data science techniques, Data Visualization, Databricks, Github, GitLab, Machine learning techniques, MATLAB Programming, Oracle, PowerBI, Python Programming, R Programming, SAS, SPARK Programming, SQL, Tableau, TensorFlow

Job Description

Corning is vital to progress – in the industries we help shape and in the world we share.

We invent life-changing technologies using materials science. Our scientific and manufacturing expertise, boundless curiosity, and commitment to purposeful invention place us at the center of the way the world interacts, works, learns, and lives.

Our sustained investment in research, development, and invention means we’re always ready to solve the toughest challenges alongside our customers.

Corning’s businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, and automotive markets.

We are changing the world with:

• Trusted products that accelerate drug discovery, development, and delivery to save lives
• Damage-resistant cover glass to enhance the devices that keep us connected
• Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of life
• Precision glass for advanced displays to deliver richer experiences
• Auto glass and ceramics to drive cleaner, safer, and smarter transportation

Odds are that the email you read this morning traveled over Corning Optical Fiber; the smartphone you used had a Corning cover lens; and the vehicle you took to work had cleaner emissions because of a Corning catalytic substrate.

We are seeking out dedicated interns who strive to see their work make a difference. If you have a passionate belief in the power of innovation to change the world; if you rate your own success by how many people are touched by your research; and if you are up to the challenge of doing world-class science to make real, profitable advanced materials, then Corning is the place for you.

Corning's Manufacturing, Technology and Engineering division (MTE) is recognized as the leader in engineering excellence & innovative manufacturing technologies by providing diverse skills to Corning's existing & emerging businesses.

Day to Day Responsibilities: ·

In this role, you will provide data science expertise to project teams by applying a variety of advanced analytics methods to analyze product and process data and presentation of results. You will work with experienced data scientists and statisticians on cross discipline project teams to support internal R, D, & E projects currently underway in the department.

Our current project portfolio covers a broad range of business areas including Life Sciences, Display Technologies (LCD glass), Gorilla Glass®, Environmental Technologies (Automotive and Diesel), Specialty Materials, and Strategic Growth (new business development).

Typical Project Scopes:

• Successfully identify the real problem from the customer’s point of view to build and execute data analytics work plans that deliver business impact.
• Communicate technical analyses and results with statistical interpretation 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.

Education:

• Currently pursuing a MS/PhD in Data Science, Statistics, Computer Science, or other quantitative discipline
• Undergraduate degree in Engineering, Mathematics, Physics, or other quantitative disciplines preferred Range of

Required Skills:

• 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.
• 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.
• Experience with a broad base of analysis and visualization tools (i.e. Python, R, MATLAB, SAS JMP, Power BI, Tableau).
• Gain practice in showing the relevance of the applied techniques in manufacturing and prioritize work across multiple projects will be critical.
• 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

 Desired Skills:

• Knowledge of relational databases and experience with SQL.
• Familiarity with ETL tools for data extraction, data cleansing, and data manipulation.
• Understanding of measurement system analysis (MSA) techniques and design of experiments.
• 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)