Senior Data Scientist - Marketing & Customer Analytics

PNC•Tysons, VA

3d•$100,100 - $185,900•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 Senior Data Scientist within PNC's Data, Modeling & Analytics organization specifically within our Marketing & Customer Analytics group, you will be based in Pittsburgh, PA, Tysons Corner or Vienna, VA or Wilmington, DE. The Senior Data Scientist - Marketing Valuations will play a critical role in accelerating profitable growth by developing, scaling, and applying valuation analytics and statistical models to enable decision‑making across marketing strategies. This role focuses on translating customer, offer, and channel economics into actionable valuation frameworks that inform prioritization, optimization, and investment decisions. The ideal candidate combines expertise in statistical modeling and advanced analytics with business acumen to deliver analytical solutions for Marketing Valuations.

Requirements

Progressive experience in data science, advanced analytics, or quantitative modeling, preferably in financial services or marketing analytics.
Demonstrated expertise in marketing valuation concepts, including customer lifetime value, incremental or causal value and offer or channel economics.
Intermediate proficiency in Python and SQL.
Knowledge of cloud platforms and big data technologies (Spark, Hadoop).
Excellent communication skills with the ability to explain complex approaches to non-technical and executive stakeholders.
Strong attention to detail.
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.
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
University / college degree, with 5+ years of industry-relevant experience.
In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Nice To Haves

Advanced degree in a quantitative field (e.g., mathematics, statistics, economics etc.) is preferred.

Responsibilities

Valuation model development & Financial Forecasting: Design and develop valuation and forecasting models such as: Net Present Values, Customer Lifetime Value and Offer Economics to guide marketing budget optimization and investment decisions.
Apply advanced statistical and causal modeling to quantify incremental impact, uncertainty and trade-offs.
Strategic Decision Support: Analyze large datasets to understand customer behavior and translate insights into clear business cases with measurable outcomes.
End-to-End Analytical Ownership: Own the full analytical lifecycle, from problem framing and data exploration to model development and validation.
Cross-functional collaboration: Partners with marketing strategy, finance, and data teams to drive adoption of valuation outputs, advise on their application, and present findings clearly to senior executives to support strategic decisions.
Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
Directs the data gathering, data processing and data mining of large and complex datasets.
Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management.
Leads analytical experiments in a methodical manner to find opportunities for product and process optimization.
Presents business insights to management using visualization technologies and data storytelling.
Partners 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.