Data Scientist – Marketing, Customer Analytics

PNC

Data Scientist optimizing PNC bank marketing investments through NPV, CLV, and offer-economics models. Analyzing customer data and forecasting campaign value to guide growth decisions.

Posted 9/2/2026full-timePittsburgh • Pennsylvania, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $94,875 - $172,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and applying valuation analytics, statistical models, and machine-learning techniques to inform marketing decisions and optimize business outcomes. Proficient in data analysis, visualization, and communication of insights to both technical and non-technical stakeholders.

Highest-signal resume keywords

Python ProficiencySQL ProficiencyValuation AnalyticsStatistical ModelingMarketing Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Valuation AnalyticsStatistical ModelingData AnalysisMachine LearningQuantitative ModelingForecasting ModelsData PreparationPerformance MonitoringExploratory AnalysisAnalytical Experimentation

Soft Skills

Strong Communication SkillsAttention to Detail

Tools & Technologies

Visualization Technologies

Industry Keywords

Customer Lifetime ValueOffer EconomicsMarketing MeasurementData ScienceAdvanced Analytics

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop, enhance, and apply valuation analytics and statistical models to inform marketing decisions
Analyze customer, offer, and channel economics to guide prioritization, optimization, and investment decisions
Develop and maintain NPV, CLV, and Offer Economics valuation and forecasting models
Apply statistical and analytical techniques to measure performance, estimate incremental impact, and evaluate business trade-offs
Analyze customer and marketing data to identify trends, evaluate opportunities, and provide actionable recommendations
Support data preparation, exploratory analysis, model development, validation, and performance monitoring
Partner with marketing, finance, data, architecture, engineering, analytics, and visualization teams
Present business insights to management using visualization technologies and data storytelling
Develop algorithms using mathematical, statistical, and machine-learning techniques to predict business outcomes and recommend actions
Run analytical experiments to identify product and process optimization opportunities

Requirements

What you’ll need

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
Familiarity with marketing valuation concepts, including customer lifetime value, offer economics, marketing measurement, or related analytical methodologies
Proficiency in Python and SQL
Strong communication skills with the ability to explain analytical results to technical and non-technical stakeholders
Strong attention to detail and commitment to delivering high-quality work
3+ years of relevant/direct industry experience typically required at this level
In lieu of a degree, a comparable combination of education, job-specific certification(s), and experience may be considered
No required certifications
No required licenses
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position

Benefits

Comp & perks

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 plan
Stock purchase plan
Dependent care reimbursement account
Back-up child/elder care
Adoption, surrogacy, and doula reimbursement
Educational assistance, including select programs fully paid
Robust wellness program with financial incentives
Maternity and/or parental leave
Up to 11 paid holidays each year
9 occasional absence days each year
15 to 25 vacation days each year, depending on career level
Incentive-eligible compensation based upon company, business and/or individual performance