Role Overview
The Data Scientist – Marketing Valuations will support profitable growth by developing, enhancing, and applying valuation analytics and statistical models to inform marketing decisions. This role focuses on analyzing customer, offer, and channel economics to generate insights that help guide prioritization, optimization, and investment decisions across marketing initiatives.
What You Will Do
Valuation Modeling & Forecasting: Assist in the development and maintenance of valuation and forecasting models, including Net Present Value (NPV), Customer Lifetime Value (CLV), and Offer Economics models to support marketing budget and investment decisions.
Why It Might Be a Fit
The ideal candidate combines strong analytical and problem-solving skills with a solid foundation in statistical modeling and data analysis.
Requirements
- Bachelor’s degree in a quantitative field such as mathematics, statistics, economics, data science, engineering, or a related discipline.
- Experience in data science, advanced analytics, quantitative modeling, marketing analytics, or a related field.
- Familiarity with marketing valuation concepts, including customer lifetime value, offer economics, marketing measurement, or related analytical methodologies.
- Proficiency in Python and SQL.
- Strong communication skills with the ability to explain analytical results to both technical and non-technical stakeholders.
Benefits
- Medical/prescription drug coverage (with a Health Savings Account feature)
- Dental and vision options
- Employee and spouse/child life insurance
- Short and long-term disability protection
- 401(k) with PNC match, pension and stock purchase plans
- Dependent care reimbursement account
- Back-up child/elder care
- Adoption, surrogacy, and doula reimbursement
- Educational assistance, including select programs fully paid
- A robust wellness program with financial incentives
To apply for this job please visit pnc.wd5.myworkdayjobs.com.
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