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IT Data Scientist

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Date: Feb 18, 2021

Location: Painted Post, NY, US, 14870

Company: Corning

Requisition Number: 43994


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 succeeds through sustained investment in R&D, a unique combination of material and process innovation, and close collaboration with customers to solve tough technology challenges.

The global Information Technology (IT) Function is leading efforts to align IT and Business Strategy, leverage IT investments, and optimize end to end business processes and associated information integration technologies.  Through these efforts, IT helps to improve the competitive position of Corning's businesses through IT enabled processes.  IT also delivers Information Technology applications, infrastructure, and project services in a cost efficient manner to Corning worldwide.

Overview: The IT Data Scientist is a key member of our digital team, working closely with the product owner, developers, other data scientists, analysts and domain experts to deploy custom software applications built with our digital application platforms. Your work is crucial to our global digital transformation efforts because it helps deliver actionable insight, leverage agile methodologies to create value more effectively. The successful candidate will be responsible to work on various data science activities related to digital implementations and leveraging agile practices advanced analytics, toolchain and application development platforms to incorporate enterprise data and workflow information, interact with other enterprise systems and present this information to users that need it. Agile software development knowledge is crucial to this role, including working as part of a multi-functional agile development team, contributing to UX design, hands on frontend & backend development, knowledge of SQL and data engineering, API use, distributed version control with Git, automated testing, continuous integration and continuous deployment.

Responsibilities: As the IT Data Scientist, your main responsibilities will be to:

  • Undertaking data collection, preprocessing and analysis
  • Building models to address business problems
  • Present information using data visualization techniques

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our competitive advantage. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with skills in analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Combine models through ensemble modeling
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams


  • Proven experience as a Data Scientist
  • Experience in data mining
  • Understanding of machine-learning and operations research
  • Proficiency in R, SQL and Python; familiarity with Scala, Java or C++ is an asset
  • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
  • Analytical mind and business acumen
  • Ability to clearly communicate data science work and deductions discovered to business
  • Strong math skills (e.g. statistics, algebra)
  • Problem-solving aptitude
  • Demonstrated communication and presentation skills
  • BS/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
  • Translate loosely defined requirements into solutions
  • Use our agile toolchain service offering for your day-to-day activities and work to continually improve it

Education, Experience, and Licensing:

  • Undergraduate degree in Computer Science, IT, IS, or equivalent area of technical study
  • Certification in major cloud infrastructure provider and/or CNCF related technologies preferred
  • A minimum of 3 years working as a data scientist/data analyst

Technical Qualifications:

  • A minimum of 2 years of hands-on production experience with agile software development in a variety of languages, such as Python, Scala, SQL
  • Demonstrated proficiency with machine learning libraries and statistical methods
  • A minimum of 1 year of Spark/Databricks experience
  • 1 year of AWS experience & cloud practitioner certification
  • A minimum of 2 years working with data from various data systems (spark, SQL, Oracle, graph db)
  • Data architecture design patterns
  • Proficiency with agile software development tools including Git (preferably Gitlab), Jira, CI/CD and technical documentation tools
  • Proficiency with agile work practices in settings involving multiple development teams, cross-functional team members and both local and remote participants with diverse backgrounds and experience

Other Qualifications:

  • Demonstrated curiosity and an ability to learn new skills on an ongoing, sustained basis
  • Demonstrated systems perspective when analyzing problems, thinking about overall operation, failure modes and how to address these problems proactively
  • A strong sense for the importance of documentation, and the importance of not having to learn things twice
  • Demonstrated oral and written communication skills with an ability to break down technical systems to help business partners understand the value
  • Technical collaboration and communication skills as well as the ability to drive cultural change and adoption of best practices through community participation
  • Ability to collaborate with other teams across the company, training users on data science, sharing experiences and lessons learned for continual improvement
  • Demonstrated problem-solving and troubleshooting skills
  • Process-oriented with documentation skills

This position does not support immigration sponsorship.

We prohibit discrimination on the basis of  race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, or veteran status or any other legally protected status.

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.

Nearest Major Market: Corning