Data Scientist II-HYBRID

Requisition Number: 61525

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 

Data Scientist II

The position of Data Scientist is an exciting opportunity to be a part of Corning's Data Science & Intelligence (DSI) team, which delivers analysis and insight to support high stakes strategic decisions and financial operations in a large and diverse Fortune 500 company. This role is part of the Finance Function and will be at the forefront of transforming decision science within corporate finance and across the company. The team leverages core competencies in statistics, data science, and corporate finance. Projects will be approached as a team, with the Data Scientist expected to both complete independent analyses and engage collaboratively with the broader team.

Using advanced modeling techniques, the Data Scientist will provide objective and insightful analysis to all levels of the organization including Senior Leadership. The individual must possess competency in the application of data science methods to solve complex business problems. Commonly used methodologies include time series models, Bayesian modeling, tree-based methods, clustering, reinforcement learning, deep learning, and text-mining. The candidate should have interest in applying these methods to advance Corning’s decision-making capability within the Finance function.

The position is hybrid-remote, with the expectation of coming to the Corning HQ office for in-person meetings on a need's basis.

Day to Day Responsibilities:

• Apply machine learning and statistical techniques to understand, predict or optimize business performance
• Critically evaluate and recommending improvements to current approaches, models, metrics, and code to improve robustness and operational efficiency
• Coach junior Data Scientists
• Think creatively to frame business problem in terms of modeling analysis to support strategic decision making by using new and established methodologies in descriptive, predictive, perspective modeling
• Translate analysis results into business recommendations
• Conduct research on state-of-the-art methodologies and experimenting with new machine learning methods to advance the group’s capabilities to deliver advance modeling solutions for high value business problem
• Share learnings and modeling results in presentations to different stakeholders
• Compile and manipulating internal and external data sets for modeling
• Contributing high quality code to project repositories

Required Work & Education:

• Minimum of 5 years of work experience in the application of data science methods to help solve business problems
• MS or PhD in quantitative discipline (Data Science, Mathematics, Statistics, Computer Science, Economics, Finance)
• Course work in applied statistics, machine learning, or data science
• Course work and/or interest in problems in the domain of Finance, Economics, or Operations Management is a plus

Required Qualifications:

• Ability to work both independently and as part of highly collaborative teams
• Able to convert research work into production to solve real problems
• Must be inquisitive and open to challenging traditional processes and thinking
• Self-driven for continual learning and ongoing training/development
• Able to present technical analysis to senior level stakeholders
• Track-record of publication in academic journals or conference is a plus

Technical Competencies:

• Strong competency with Python and the Python data science ecosystem
• Experience scripting with SQL
• Experience working in Linux/Unix environment
• Experience with git source control platforms like GitLab or GitHub
• Familiarity with development tools such as Docker is a plus
• Familiarity with Databricks, and AWS Machine Learning platforms is a plus
• Experience with distributed computational frameworks (Spark, Dask, etc) is a plus

This position does not support immigration sponsorship.

The range for this position is $106,735.00 - $146,761.00.  Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, pension plan, life insurance coverage, disability benefits, and PTO.

​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 use, 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.