Data Scientist

Key Skills

Data Visualization, ETL/ELT technologies, Machine learning techniques, PowerBI, PySpark, Python Programming, SQL, Statistical modeling, Tableau

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.

As a leading developer, manufacturer, and global supplier of scientific laboratory products for 100 years, Corning’s Life Sciences segment collaborates with researchers seeking new approaches to increase efficiencies, reduce costs and compress timelines in the drug discovery process. Using unique expertise in the fields of materials science, surface science, optics, biochemistry and biology, the segment provides innovative solutions that improve productivity and enable breakthrough discoveries.

Scope of Position:

In this role, you will drive the definition, development, and communication of data understanding and key insights from data. You will be joining an analytics center of excellence for the Corning Life Science division. Our mission is to add value to the business by utilizing our expertise in data, statistics, and machine learning to identify and address the biggest opportunities to grow out $1B+ business.

Required Education and Years of Experience:

• Bachelor's degree in Mathematics, Computer Science, Engineering, Operations Research, or related discipline.
• Minimum of 3 years’ experience in data science, statistics, and/or analytics
• Minimum of 1 years’ experience with Pyspark, Python or other similar scripting language

Required Skills:

• Strong knowledge in descriptive and inferential statistics as well as supervised and unsupervised methods
• Experience applying various machine learning techniques, and understanding the key parameters that affect performance
• Experience with database query languages such a SQL
• Experience displaying complex quantitative data in a simple, intuitive format and presenting findings clearly and concisely.
• Experience working directly with business stakeholders to translate between data and business needs.

Day to Day Responsibilities:

• Perform hands-on data analysis and modeling with large data sets to develop insights that improve business revenue and/or margin
• Apply machine learning and statistical techniques to understand, predict or optimize impactful drivers of our business
• Contribute to team development operational best practices to allow tools and techniques to scale
• Prepare and deliver analyses and insight reviews to senior leadership
• Collaborate with IT, external data partners, and self-developed databases to enable the appropriate capture, storage, data visualization and analysis of key data elements
• Enable effective decision making by identifying, retrieving, and aggregating data from multiple sources and compiling it into a digestible and actionable structure and format
• Contribute and participate in the Corning-wide data science community
• Stay current with the evolving technology and modeling techniques

Desired Experience / Qualifications / Skills:

• Master's degree in Data Science, Mathematics, Statistics, Engineering, or another quantitative field
• Experience with data visualization and tools such as Power BI, Tableau, or similar.
• Experience developing Extract, Transform, Load (ETL) pipelines for processing raw data.
• Able to think creatively and possess strong troubleshooting and problem solving skills
• Demonstrated ability to work effectively cross-functionally with IT, Supply Chain, Sales, Business Operations, data subject matter experts, Data Engineers and other Analysts to mine the right data sources efficiently and accurately
• Excellent organizational skills including prioritization of multiple concurrent projects while still delivering timely and accurate results
• Ability to break down complex problems into smaller deliverables that add value
• Business Acumen

This position does not support immigration sponsorship.

Corning Puts YOU First! 

We are committed to supporting your health, financial, career development, and life goals as you grow professionally and personally to achieve your highest potential. All benefits begin as soon as you start your career at Corning.

• Our monetary peer-to-peer recognition program is tied to our values and celebrates you and your colleagues’ contributions.
• Health and well-being benefits include medical, dental, vision, paid parental leave, mental health/substance, fitness, and disease management programs.
• Financial benefits include a 401(k) savings plan with company matching contributions and a 100% company-paid pension benefit that grows steadily throughout your career.
• Companywide bonus and attractive short- and long-term compensation programs are available based on your role and responsibilities.
• Professional development programs help you grow and achieve your career goals.

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, 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.