Requisition Number: 76036
Role PurposeAs a Data Scientist, you will serve as a hands-on applied data science contributor within the Business Intelligence team. You will work closely with market intelligence teammates, business stakeholders, and leadership to develop practical analytical solutions that improve how we understand markets, customers, competitors, and business performance.
This role is focused on applied, decision-oriented data science rather than theoretical or research-based work. Success in this role requires balancing technical rigor with speed, business relevance, and clear communication in a fast-moving, high-visibility environment. You will be expected to move efficiently from business question to usable solution while ensuring outputs are credible, explainable, and grounded in business realities.
You will contribute to the technical rigor of the Business Intelligence team by applying sound data science methods, reproducible workflows, and practical analytical approaches to business problems. This role reports directly to the Director of Forecasting & Analytics within the Business Intelligence organization.
Key Responsibilities- Develop and deliver applied data science solutions for business intelligence use cases such as forecasting, classification, segmentation, anomaly detection, and other predictive or descriptive analytics.
- Own end-to-end analytical execution, including data ingestion, API integration, transformation of structured and semi-structured data, feature engineering, modeling, validation, and stakeholder-ready output creation.
- Partner with market intelligence teammates and business stakeholders to frame ambiguous questions, define fit-for-purpose analytical approaches, and translate outputs into practical recommendations.
- Select appropriate statistical, machine learning, and AI methods based on business need, data constraints, interpretability, and time-to-insight; avoid unnecessary complexity when simpler approaches are sufficient.
- Apply rigorous validation and reasonableness checks to ensure outputs are accurate, explainable, and aligned with market and business context.
- Build scalable, reusable workflows in Databricks and related tools that improve reproducibility, speed, and team efficiency.
- Prepare clear visualizations, dashboards, and executive-ready materials in Power BI, Excel, and PowerPoint to communicate methods, insights, assumptions, and implications effectively.
- Partner closely with business-facing teammates to strengthen quantitative rigor in market intelligence, competitive intelligence, strategic finance, and economics-oriented analyses.
- Stay current with the evolving data science and AI landscape and contribute ideas for applying new methods and tools where they may create business value.
- Contribute to best practices for experimentation, documentation, model validation, code quality, and reproducible analytical workflows within the BI analytics team.
- Participate in agile delivery, code reviews, documentation, and production support for analytical solutions.
Experiences/Education - Required- Bachelor's degree in data science, statistics, computer science, economics, operations research, engineering, or related quantitative field
- Minimum 3 years of experience applying data science, machine learning, or advanced analytics to business problems in a production or business-facing environment
- Strong proficiency in Python and SQL, with experience supporting the analytical workflow from data ingestion and preparation through model output and stakeholder-ready delivery
- Advanced proficiency in Excel and PowerPoint, including building structured analyses and communicating executive-ready insights
Experiences/Education - Desired- Experience using Databricks and/or Spark for large-scale data processing, modeling, and analytics workflows
- Experience building dashboards or analytical products in Power BI
- Experience with version control, CI/CD, model lifecycle practices, or reproducible analytics workflows
- Familiarity with business intelligence, market intelligence, competitive intelligence, strategic finance, and/or economics-oriented applications of analytics
- Experience evaluating and applying emerging AI or machine learning approaches in practical business settings
This position does not support immigration sponsorship. The range for this position is $97,314.00 - $133,808.00 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.
A job that shapes a life. Corning offers you the total package. Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.
- Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
- As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning's total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service.
- Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.
- Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions.
