Director - Pricing Strategy & Revenue Science

PODS • Clearwater, FL

5h

About The Position

At PODS, we’re transforming how pricing drives growth, customer experience, and competitive advantage across our business. We’re looking for a visionary, analytically-driven leader to modernize and elevate our pricing capabilities from a primarily manual, rules-based model into a sophisticated, data-driven pricing function that improves conversion, margin and network utilization across every customer interaction.

As the Director of Pricing Strategy & Revenue Science, you will lead the development and application of models that explain and forecast demand, conversion, price sensitivity, utilization, and revenue performance. Responsibilities include designing pricing and business experiments; building demand and revenue forecasts; developing optimization approaches that balance conversion, margin, and capacity; and creating analytical frameworks that quantify the impact of geography, mileage, seasonality, inventory availability, customer segment, competitive conditions, and other business drivers. This leader will establish standards for causal measurement, model validation, data quality, reproducibility, monitoring, and post-deployment performance. The role partners closely with Product, Engineering, IT, Finance, Operations, Marketing, and other business teams to translate analytical work into scalable decision tools and operating processes. The Director will also lead root-cause analysis when performance shifts, communicate recommendations to senior leaders, and coach a high-performing team of data scientists and analytical professionals.

Requirements

• Bachelor's degree required in Data Science, Statistics, Computer Science, Economics, Applied Mathematics, Operations Research, Engineering, or a related quantitative field; Master's degree or PhD preferred but not required
• 8+ years of experience in data science, pricing analytics, revenue management, forecasting, optimization, or advanced analytics, with at least 3 years leading or managing data scientists or analytical professionals
• Experience applying predictive, experimental, forecasting, or optimization methods to high-volume commercial or operational decisions; experience in e-commerce, marketplaces, logistics, services, pricing, or revenue management preferred

Nice To Haves

• Experience with R or another statistical language is a plus
• Master's degree or PhD preferred but not required
• experience in e-commerce, marketplaces, logistics, services, pricing, or revenue management preferred

Responsibilities

• Reports to Vice President, Digital
• Directly manage the Pricing & Revenue Science Team, including Data Scientists and pricing/revenue analytics professionals. Full management authority includes hiring, performance management, compensation decisions, and terminations. Responsible for team priorities, analytical standards, and vendor/partner oversight as applicable.
• Deep experience leading applied data science or decision science work in pricing, revenue management, forecasting, optimization, marketplace economics, or a related analytical domain
• Strong hands-on fluency in SQL and Python; able to review complex queries, notebooks, model code, and analytical pipelines. Experience with R or another statistical language is a plus
• Strong command of statistics and applied econometrics, including regression, hypothesis testing, causal inference, experimental design, measurement, and model validation
• Experience with predictive modeling, machine learning, forecasting, elasticity modeling, and optimization; able to evaluate methodology, feature selection, validation approaches, explain ability, and business applicability
• Familiarity with modern data science tooling and environments, including the Python analytics ecosystem (e.g., pandas, NumPy, scikit-learn, stats models or equivalents), cloud data warehouse/lake platforms, and Git/version control
• Ability to partner with Engineering and IT to productionize analytical models and decision systems, with working knowledge of data pipelines, APIs, model monitoring, drift, data quality, and deployment lifecycle practices
• Ability to translate complex technical findings into clear business recommendations and influence senior leaders and cross-functional stakeholders using data-driven insights
• Proven track record leading high-impact analytical initiatives from discovery through implementation and developing data scientists and analysts with strong standards for rigor, documentation, and reproducibility
• You've built strategy roadmaps where success was defined upfront, not rationalized afterward
• You can read SQL, spot a flawed methodology, and tell the difference between a real trend and a composition effect
• You've delivered cross-functional initiatives end to end, not handed off after the strategy deck was done
• You know when the data is good enough to act and when more investigation is the right call; when you hit ambiguity, your instinct is to investigate, not wait
• You've hired and developed analytical talent, and people have grown under your leadership
• Must have customer facing experience.

Benefits

• medical, dental, and vision coverage
• a 401(k) with company match
• bonus opportunities
• paid time off
• employee storage discounts

What This Job Offers

• Job Type: Full-time
• Career Level: Director