Marketing Analytics Scientist: Valuation & Growth Insights

PNC

Pittsburgh (Allegheny County)

Hybride

USD 95 000 - 173 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Health insurance
Dental and vision insurance
401(k) with company match
Life insurance
Disability protection
Educational assistance
Wellness program

Résumé du poste

PNC Financial Services Group, Inc. is seeking a Data Scientist - Marketing Valuations to build and refine valuation analytics and statistical models for marketing decisions.

You will analyze customer, offer, and channel economics to guide prioritization and investments. The role combines strong analytical skills with expertise in statistical modeling, data analysis, and effective communication to stakeholders across marketing and finance.

Qualifications

  • Bachelor's degree in a quantitative field; advanced degree preferred.
  • Experience in data science, analytics, modeling, or marketing analytics.
  • Familiarity with marketing valuation concepts such as CLV and offer economics.
  • Proficiency in Python and SQL; exposure to cloud platforms and big data tech like Spark/Hadoop.

Responsabilités

  • Develop, maintain, and apply valuation and forecasting models (NPV, CLV, offer economics) for marketing decisions.
  • Apply statistical techniques to measure performance and evaluate trade-offs.
  • Analyze customer and marketing data to identify trends and provide actionable recommendations.
  • Support end-to-end analytical process including data prep, modeling, validation, and monitoring.
  • Collaborate with marketing, finance, and data teams to implement recommendations.

Connaissances

Analytical Thinking
Data Analytics
Data Mining
Data Science
Machine Learning
Communication

Formation

Bachelor's degree in quantitative field
Master's degree preferred

Outils

Python
SQL
Spark
Hadoop

Description du poste

PNC Financial Services Group, Inc. is seeking a Data Scientist - Marketing Valuations to build and refine valuation analytics and statistical models for marketing decisions.

You will analyze customer, offer, and channel economics to guide prioritization and investments. The role combines strong analytical skills with expertise in statistical modeling, data analysis, and effective communication to stakeholders across marketing and finance.

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