Pricing Data Scientist

This is a fully remote position, open to applicants in Texas.

📋 Description

• Oversee the design, development, and implementation of AI-driven pricing models in retail, DIP (buy/loan), and Historic Pricing techniques.

• Create data acquisition and curation pipelines to facilitate training and validation of pricing models.

• Develop specialized pricing models for luxury purses, handbags, electronics, and tools.

• Utilize Gen AI and LLM-based methods for product matching, aliasing, and the cleanup of Master Data Management.

• Incorporate external and competitive pricing data into pricing models.

• Design and operationalize infrastructure for pricing experimentation, including pilots, A/B testing, monitoring, and trigger logic.

• Streamline pricing pipelines in collaboration with Data Engineering, transitioning from manual processes to scalable, monitored, AI-enhanced systems.

• Establish optimized pricing strategies and parameters by category, while tracking performance metrics such as margin, sales velocity, inventory turnover, penetration, acceptance, and average price.

• Collaborate with the Pricing Product Manager to devise pricing strategies.

• Conduct root cause analysis on pricing discrepancies alongside Pricing Analysts, identifying issues related to data, aliasing, MDM, and methodologies.

• Execute rigorous descriptive, predictive, and prescriptive pricing analytics, ensuring thorough testing and documentation.

• Supervise research related to pricing algorithms, AI frameworks, and data architectures.

• Ensure that pricing models and data science methodologies adhere to scientific, ethical, and engineering standards.

• Convey results of pricing models, delivery options, and business implications to business and executive stakeholders.

• Work with executives to influence data-driven pricing decisions and promote AI adoption.

• Handle ad hoc requests and manage projects as needed.

• Mentor and guide data scientists and pricing analysts, establishing standards for modeling, experimentation, and peer review.

⛳️ Requirements

• Bachelor's degree or higher in computer science or a related discipline.

• Over 15 years of professional experience in software development.

• At least 5 years of experience in data science, analytics, or machine learning roles.

• Practical experience in developing pricing, demand, or revenue optimization models.

• A minimum of 5 years in pricing data collection and/or product data collection.

• Demonstrated experience in leading large-scale data acquisition or machine learning projects from inception to deployment.

• Strong preference for candidates with experience in applying Gen AI and LLMs to production scenarios.

• Preference for individuals with expertise in pricing experimentation, including A/B testing, pilot design, and causal inference.

• Experience in retail, e-commerce, resale, or secondhand-goods pricing is advantageous.

🏝️ Benefits

• Attractive compensation and benefits package.

• Competitive salary.

• Generous bonus potential from the start.

• Opportunities for development and career progression to enhance skill sets.

• Equal access to employment opportunities, programs, and services.

• An environment focused on belonging and development.

• A dynamic and enjoyable work atmosphere.