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PNC
Data Scientist
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Based on Delaware data
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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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Data Scientist
- Marketing & Customer Analytics page is loaded Data Scientist
- Marketing & Customer Analytics Apply locations PA
- Pittsburgh (15222) VA
- Tysons Corner DE
- Wilmington time type Full time posted on Posted 4 Days Ago job requisition id R233750 Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve.
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.
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.Preferred Skills and Experience:
- 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.
STEM OPT
for this position. Job Description 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. 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 3+ years of relevant / direct industry experience. Certifications are often desired. 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)Language Assessments No Required or Preferred Language Assessments Pay Transparency Base Salary:
$94,875.00- $172,500.
- People Analytics & Quantitative Insights locations PA
- Pittsburgh (15222) time type Full time posted on Posted 6 Days Ago Business Analytics Lead
- Digital Marketing Analytics locations 4 Locations time type Full time posted on Posted 10 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.
Benefits
- Paid Time Off (PTO)
- 401(k) Plans
- Employee Stock Options (ESOs)
- Health and Wellness Programs