Pricing Data Scientist

Job Description

About the Role :

As a   Data Scientist, Pricing , you will be pivotal in transforming large datasets into actionable analytics and optimizing the company's pricing guidance platform. Your primary goal is to drive annual   margin improvements . You will collaborate with   Business Development Category leaders   and   Sales and Services leaders   to develop and implement the governance, policies, and processes for solution pricing to maximize business value, sales, and profitability.

Work Set up :   Work-from-Home

Shift Schedule :   9 AM – 5 PM EST

Key Responsibilities :

1. Pricing Strategy & Analytics

• Develop and present   robust commercial pricing models to senior leaders to drive decision-making.
• Maintain   Pricing Segmentation model accuracy   to boost Seller confidence, increasing margins and profits.
• Generate   quantitative, actionable insights   using advanced statistical and data analytics.
• Gather and standardize   competitive intelligence   to inform market benchmarking and competitive actions.
• Validate, enhance, and implement   current pricing governance, policies, rules, and system processes (e.g., floors / ceilings, approvals).
• Forecast   the business impact, profitability, and key metrics of pricing decisions and communicate expectations.
• Maintain   market awareness   to continually refine pricing strategies and models for competitive positioning.

2. Modeling & Optimization

3. Data & ML Engineering

Requirements

Experience & Education

Technical Proficiency

Core Competencies :

Benefits

WHAT WE OFFER :

Requirements

Programming & ML : Proficiency in Python, R, and SQL. Experience with ML libraries and frameworks (e.g., Scikit-learn, NumPy). Data Engineering : Experience engineering information out of massive, complex, and, in some cases, unstructured datasets. Visualization : Proficiency in one or more visualization tools (e.g., Tableau, Power BI).