Data Scientist
Charlotte, NC, US, 28216
Full Time Mid-level / Intermediate USD 97K - 134K
Corning
Corning Incorporated is a global-leading innovator in materials science, with 170 years of life-changing inventions and category-defining products.Requisition Number: 67689
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.
Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.
Scope of Position:
Supports the development and deployment of data-driven solutions for OC division by leveraging data science and machine learning technologies to address complex business challenges. Applies an in-depth understanding of business processes and data analytics to build and implement transformational solutions. Works under general supervision with technical oversight and contributes to key project milestones. May take ownership of moderate-sized projects or multiple components within larger initiatives.
Responsibilities:
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Develop and deploy fit-for-purpose data science solutions as part of cross-functional project teams.
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Support and enhance existing data models, algorithms, and analytics solutions to optimize business performance.
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Accurately deliver project commitments within defined timelines.
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Collaborate with project team members and business stakeholders to design, test, and deploy data solutions.
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Build and maintain effective partnerships within business digital teams to foster a data-driven culture.
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Provide insights and guidance to business functions on data best practices, analytics methodologies, and predictive modeling techniques.
Education and Experience:
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Bachelor’s degree or higher in Data Science, Statistics, Computer Science, or a related quantitative field.
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3+ years of hands-on experience with data analysis, predictive modeling, and machine learning using Python, R, JMP and SQL.
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Proven ability to work in a highly matrixed environment and collaborate across multiple teams.
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Strong analytical and decision-making skills, with the ability to translate business problems into data-driven solutions.
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Proactive and adaptable mindset with a willingness to take initiative.
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Strong leadership, verbal, and written communication skills, including the ability to present technical concepts to non-technical audiences.
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Ability to analyze complex systems with a broad operational perspective, identifying potential failure modes and proactively addressing issues.
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Commitment to thorough documentation and knowledge-sharing to promote long-term efficiency.
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Understanding of statistical modeling, feature engineering, and performance evaluation metrics.
Desired Skills:
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Hands-on experience integrating machine learning models into business applications.
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Experience working with large-scale datasets.
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Familiarity with cloud data platforms such as Databricks, AWS S3, Parquet, and Delta Lake.
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Familiarity with MLOps, model deployment, and monitoring frameworks.
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Experience with Agile methodologies
Travel Requirement:
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Up to 25%
This position does not support immigration sponsorship.
The range for this position is $97,542.00 - $134,121.00 assuming full time status. 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 are dependent on hours worked and may 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.
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. To request an accommodation, please contact us at accommodations@corning.com.
Tags: Agile AWS Computer Science Data analysis Data Analytics Databricks Engineering Feature engineering Machine Learning ML models MLOps Model deployment Parquet Predictive modeling Python R Research SQL Statistical modeling Statistics
Perks/benefits: Career development Health care Insurance Medical leave Parental leave Startup environment
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