Apply on Employer Site

PNC · 1 month ago

Senior Data Scientist - Marketing & Customer Analytics

VA - Tysons Corner

Full-time

Onsite

Senior Level

5+ years exp

PNC is a leading financial services institution that prioritizes delivering excellent customer experiences. The Senior Data Scientist will develop and deploy predictive models to drive marketing strategies and enhance portfolio performance, leveraging statistical modeling and machine learning expertise.

BankingFinanceFinancial Services

No H1B

Responsibilities

Collaborate with business partners to design, build, and validate predictive models in the credit card and consumer lending marketing domain using advanced statistical modeling and machine learning techniques

Analyze large datasets to uncover insights, create meaningful features, and ensure data quality and relevance for modeling

Present analytical findings and actionable insights to senior-level executives in a clear, compelling, and business-focused manner to support strategic decision-making

Track model performance over time, recalibrate as needed, and communicate results and implications to stakeholders

Maintain thorough documentation of modeling processes, assumptions, and validation results to support compliance and model governance requirements

Qualification

Statistical ModelingMachine LearningData AnalyticsPythonSQLRData MiningCloud PlatformsAnalytical ThinkingBusiness AcumenCommunication SkillsAttention to Detail

Required

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

Masters

Preferred

Substantial experience applying statistical modeling and machine learning techniques within financial services; preferably in the credit card and/or consumer lending marketing domain

Proficiency in Python, R 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 stakeholders

Understanding of marketing analytics, campaign measurement, targeting strategies, and experimental design

Strong attention to detail

Analytical Thinking

Competitive Advantages

Data Analytics

Data Mining

Data Science

Machine Learning (ML)