Data Scientist

JOB SUMMARY

GALLS, LLC is the largest and fastest growing supplier of uniforms and equipment to public safety professionals, with a national presence in more than 80 locations. With over 50 years in the industry, it is easy to see why. We are PROUD to serve America’s public safety professionals by providing the broadest selection of uniforms, equipment, and solutions combined with great customer service.

As AI transforms digital commerce, pricing is evolving from a manual, rules-based function into an intelligent, autonomous capability. The AI Commerce Pricing Strategist will lead the development, governance, and optimization of AI-powered pricing strategies that maximize revenue, profitability, and competitive positioning across our ecommerce portfolio.

This role is responsible for overseeing algorithmic pricing models, defining business guardrails for autonomous pricing agents, and ensuring our pricing strategy is optimized for both traditional ecommerce channels and emerging AI-powered shopping experiences (e.g., ChatGPT, Gemini, Perplexity, and autonomous shopping agents). Working at the intersection of Ecommerce, Data Science, Merchandising, Finance, and Marketing, this individual will transform pricing into a strategic growth lever that improves customer acquisition, conversion, margin, and long-term profitability.

WHAT YOU’LL DO

AI Pricing Strategy & Governance

• Develop and govern AI-driven pricing strategies across ecommerce channels.

• Define pricing guardrails, margin thresholds, competitive rules, and business constraints for autonomous pricing engines.

• Continuously monitor and optimize pricing algorithms to balance revenue growth, profitability, and customer value.

• Evaluate and implement emerging AI pricing technologies and automation platforms.

Dynamic Pricing & Revenue Optimization

• Build dynamic pricing strategies using demand signals, inventory position, seasonality, competitive pricing, and customer behavior.

• Develop pricing frameworks that maximize gross margin while remaining competitive in the market.

• Optimize pricing across product lifecycle stages, including launches, replenishment, promotions, and clearance.

Agentic Commerce & AI Search Optimization

• Ensure pricing, product catalogs, and structured data are optimized for AI-powered search engines and autonomous shopping agents.

• Partner with SEO, Product Content, and Digital teams to improve AI discoverability and product recommendation accuracy.

• Monitor AI-generated pricing and product recommendations to strengthen competitive positioning.

Competitive Intelligence

• Leverage AI-powered competitive intelligence platforms to monitor market pricing, promotional activity, assortment changes, and pricing elasticity.

• Identify pricing opportunities, competitive threats, and emerging market trends.

• Develop predictive pricing recommendations based on competitive simulations and demand forecasting.

Promotion & Markdown Optimization

• Partner with Merchandising and Inventory Planning to optimize promotional calendars and markdown strategies.

• Utilize machine learning models to determine optimal timing, depth, and duration of promotions while protecting margin and brand equity.

• Measure promotional effectiveness and continuously refine pricing strategies based on performance.

Data & Business Analytics

• Develop dashboards and executive reporting for key pricing and ecommerce KPIs including:

• Revenue

• Gross Margin

• Contribution Margin

• Customer Acquisition Cost (CAC)

• Average Order Value (AOV)

• Conversion Rate (CVR)

• Price Elasticity

• Promotio