Data Scientist - Pricing Analytics & Platforms

Associated Materials, LLC • Cuyahoga Falls, OH

7d

About The Position

We are seeking a highly analytical and driven Data Scientist -- Pricing
Analytics & Platform to join our team. In this role, you will play a key part in
shaping and scaling our pricing analytics capabilities, helping drive smarter
pricing decisions and improved profitability.

You will work with large, complex datasets to uncover insights, build scalable
data solutions, and develop tools that empower business leaders to make
data-driven decisions.

This role offers the opportunity to build and scale a modern pricing analytics
function while working with cutting-edge tools and large, complex datasets. It
is a high-visibility position with a direct impact on revenue and profitability,
making it an ideal opportunity for someone looking to drive meaningful business
results through data.

Requirements

• Bachelor's or Master's degree in Data Science, Economics, Statistics, Mathematics, or a related field
• 3+ years of experience in data science, analytics, or pricing-related roles
• Hands-on experience with Power BI
• Strong proficiency in Python, SQL, or similar analytical tools
• Experience working with large datasets and building scalable data solutions

Nice To Haves

• Experience in pricing strategy, revenue management, or commercial analytics
• Familiarity with ERP or CRM systems (e.g., AS400, Salesforce)
• Knowledge of statistical modeling, forecasting, or optimization techniques
• Experience building customer-facing analytical tools or dashboards
• Hands-on experience with Palantir Foundry

Responsibilities

• Develop and enhance pricing analytics to improve margin performance and price realization
• Build scalable data pipelines and analytical models to support pricing and commercial strategies
• Design and deliver dashboards and tools that provide clear visibility into pricing performance
• Translate complex data into actionable insights and compelling business stories
• Partner with cross-functional stakeholders, sales, finance & operations to identify opportunities and drive adoption of analytics solutions
• Support the development of pricing strategies through data modeling, forecasting, and analysis

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees