Data Scientist - Marketing & Customer Analytics

PNC•Tysons, VA

5d•$94,875 - $172,500•Onsite

About The Position

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.

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.
Proficiency in Python and SQL.
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.
3+ years of relevant / direct industry experience.
Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Nice To Haves

Advanced degree preferred.
Familiarity with marketing valuation concepts, including customer lifetime value, offer economics, marketing measurement, or related analytical methodologies.
Exposure to cloud platforms and big data technologies such as Spark or Hadoop is a plus.
Analytical Thinking
Competitive Advantages
Data Analytics
Data Mining
Data Science
Machine Learning (ML)
Data Architecture
Data Mining
Disruptive Innovation
Information Capture
Machine Learning
Modeling: Data, Process, Events, Objects
Prototyping
Query and Database Access Tools

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.
Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.
Participates in the data gathering, data processing and data mining of large and complex datasets.
Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
Runs analytical experiments in a methodical manner to find opportunities for product and process optimization.
Assists in the presentation of business insights to management using visualization technologies and data storytelling.
May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

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
maternity and/or parental leave
up to 11 paid holidays each year
9 occasional absence days each year, unless otherwise required by law
between 15 to 25 vacation days each year, depending on career level; and years of service.