Data Scientist - Marketing & Customer Analytics
$94.88k - $172.5kPNC Bank
PA - Pittsburgh (15222) VA - Tysons Corner DE - Wilmington Full time
R233750
Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Data Scientist within PNC's Data, Modeling & Analytics Marketing & Customer Analytics organization, you will be based in Pittsburgh, PA, Tysons Corner, VA or Wilmington, DE. 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. The ideal candidate combines strong analytical and problem-solving skills with a solid foundation in statistical modeling and data analysis. Key Responsibilities:- 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.
- Apply statistical and analytical techniques to measure performance, estimate incremental impact, and evaluate business trade-offs.
- Business Analysis & Insights: Analyze customer and marketing data to identify trends, evaluate opportunities, and provide actionable recommendations.
- Analytical Execution: Support the end-to-end analytical process, including data preparation, exploratory analysis, model development, validation, and performance monitoring.
- Cross-functional Collaboration: Partner with marketing, finance, and data teams to understand business needs, communicate analytical findings, and support implementation of valuation-based recommendations.
- Bachelor's degree in a quantitative field such as mathematics, statistics, economics, data science, engineering, or a related discipline. Advanced degree preferred.
- 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. Exposure to cloud platforms and big data technologies such as Spark or Hadoop is a plus.
- Strong communication skills with the ability to explain analytical results to both technical and non-technical stakeholders.
- Strong attention to detail and commitment to delivering high-quality work.
Vacancy posted 1 day ago
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