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PNC
Senior Data Scientist
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$109,371 / year median in Delaware
+14% projected growth
Job Description
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Senior Data Scientist
- Marketing & Customer Analytics page is loaded Senior Data Scientist
- Marketing & Customer Analytics Apply locations PA
- Pittsburgh (15222) VA
- Tysons Corner DE
- Wilmington VA
- Vienna time type Full time posted on Posted 5 Days Ago job requisition id R215777 Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve.
- 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.
Key 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.
Preferred Skills and Experience:
- Advanced degree in a quantitative field (e.g., mathematics, statistics, economics etc.) is preferred.
- 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.
STEM OPT
for this position. Job Description 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. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: 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.
Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling:
Data, Process, Events, Objects, Prototyping, Query and Database Access Tools Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. Education Masters Certifications No Required Certification(s) Licenses No Required License(s)Pay Transparency Base Salary:
$100,100.00- $185,900.
- People Analytics & Quantitative Insights locations PA
- Pittsburgh (15222) time type Full time posted on Posted 27 Days Ago Business Analytics Consultant Senior
- Marketing & Customer Analytics locations 4 Locations time type Full time posted on Posted 30+ Days Ago View All 5 Jobs About Us For nearly 160 years, PNC has strived to make a meaningful impact for our employees, customers, communities, and shareholders.