Data Scientist – Marketing, Customer Analytics

Jobtailor; Pennsylvania; On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor is seeking a data scientist with a strong foundation in valuation analytics and marketing analytics to inform strategic decisions in Pennsylvania-based roles.

The role focuses on developing models (NPV, CLV, offer economics), analyzing customer and channel economics, and delivering actionable insights to management through storytelling and visualization. 3+ years of experience and proficiency in Python and SQL are required.

Qualifications

• Bachelor's degree in quantitative field or equivalent combination of education and experience.
• 3+ years of relevant/direct industry experience typically required at this level.
• Proficiency in Python and SQL.
• Experience in marketing analytics and valuation concepts.
• Ability to communicate analytical results to stakeholders.

Responsibilities

• 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.

Skills

Python Proficiency

SQL Proficiency

Valuation Analytics

Statistical Modeling

Marketing Analytics

Data Analysis

Machine Learning

Quantitative Modeling

Forecasting Models

Data Preparation

Performance Monitoring

Exploratory Analysis

Analytical Experimentation

Strong Communication Skills

Attention to Detail

Education

Bachelor's degree in a quantitative field

Alternative education/experience accepted

Tools

Visualization Technologies

Job description

• 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

• 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

Core Competencies

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 Proficiency
• SQL Proficiency
• Valuation Analytics
• Statistical Modeling
• Marketing Analytics

Hard Skills

• Valuation Analytics
• Statistical Modeling
• Data Analysis
• Machine Learning
• Quantitative Modeling
• Forecasting Models
• Data Preparation
• Performance Monitoring
• Exploratory Analysis
• Analytical Experimentation

Soft Skills

• Strong Communication Skills
• Attention to Detail

Industry Keywords

• Customer Lifetime Value
• Offer Economics
• Marketing Measurement
• Data Science
• Advanced Analytics

Tools & Technologies

• Visualization Technologies