Senior Data Scientist - Optimization
Corning
- Tewksbury, MA
- $119,887-164,845 per year
- Permanent
- Full-time
- Build production-level models on large-scale datasets to help Corning maximize its complex business processes’ global performance
- 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
- Minimum of 7+ years’ experience in operations research, data science, and/or statistics
- Minimum of 5+ years’ experience with Python or other similar scripting language
- Master's degree in Operations Research, Mathematics, Computer Science, Industrial Engineering or other quantitative field
- Experience applying analytical methods to model business operations to improve performance
- Experience implementing linear and non-linear optimization algorithms
- Strong knowledge in descriptive and inferential statistics as well as supervised and unsupervised methods
- Experience working directly with business stakeholders to translate between data and business needs
- Experience applying various machine learning techniques, and understanding the key parameters that affect performance
- Experience with database query languages such as SQL
- 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
- Excellent organizational skills including prioritization of multiple concurrent projects
- Ability to break down complex problems into smaller deliverables that add value
- Business Acumen
- Our monetary peer-to-peer recognition program is tied to our
- 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.