Senior Data Scientist - Marketing & Customer Analytics

PNC

Quick summary

Work type
On-site
Location
Pittsburgh, PA · Tysons Corner, VA · Wilmington, DE · Vienna, VA
Salary
$100,100–$185,900 / yr
Posted
5 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $168k
This role $143k
$86k most similar roles pay here $234k

This role pays less than 71% of similar roles. Most pay $135,000–$200,862 — the shaded band above. At the midpoint, this role pays about $143k versus about $168k for comparable roles.

Based on 240 similar postings.

Employer

About PNC

PNC is one of the largest diversified financial services institutions in the U.S., based in Pittsburgh, PA, it provides retail banking, corporate banking, and asset management.

PNC currently has 152 open roles on FindRole.

Listed pay typically runs $86,250–$185,525 across 58 roles with salary data.

Most-posted roles

View all roles at PNC

At a glance

TL;DR · Senior Data Scientist - Marketing & Customer Analytics

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As a Senior Data Scientist in PNC's Marketing & Customer Analytics group, you will develop and scale valuation analytics and statistical models to optimize marketing strategies. Your day-to-day responsibilities include designing financial forecasting models like Net Present Value and Customer Lifetime Value, applying advanced causal modeling techniques, and providing strategic decision support by translating customer behavior insights into actionable business cases. You will own the entire analytical lifecycle from data exploration to model validation and collaborate with cross-functional teams to drive adoption of valuation outputs among senior executives. Ideal candidates have an advanced degree in a quantitative field, experience in financial services or marketing analytics, proficiency in Python and SQL, and knowledge of cloud platforms like Spark and Hadoop. Strong communication skills are essential for explaining complex approaches to non-technical stakeholders.

Skills

Python SQL Spark Hadoop CI/CD AWS Azure Google Cloud Platform PostgreSQL MySQL Tableau PowerBI Jupyter Notebook Git Docker Kubernetes Terraform Scikit-learn TensorFlow Pandas Numpy Matplotlib Seaborn

What you'll do

  • Develop valuation models including Net Present Values and Customer Lifetime Value.
  • Apply statistical modeling to quantify incremental impact and trade-offs in marketing strategies.
  • Analyze large datasets to understand customer behavior and translate insights into actionable business cases.
  • Own the full analytical lifecycle from problem framing through model validation.
  • Collaborate with finance teams to drive adoption of valuation outputs for strategic decisions.
  • Present findings clearly to senior executives using visualization technologies.

What we're looking for

  • Advanced degree in a quantitative field (e.g., mathematics, statistics).
  • Expertise in marketing valuation concepts and statistical modeling.
  • Experience developing financial forecasting models like NPV and CLV.
  • Proficiency in Python, SQL, and big data technologies (Spark, Hadoop).
  • Strong ability to communicate complex analytics to non-technical stakeholders.
  • Ownership of the full analytical lifecycle from problem framing to validation.

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