Director - Pricing Strategy & Revenue Science

PODS Enterprises, LLC; Clearwater (FL); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) with company match

Bonus opportunities

Paid time off

Employee storage discounts

Job summary

PODS Enterprises, LLC in Clearwater, FL is hiring a Director of Pricing Strategy & Revenue Science to modernize pricing with data-driven models and forecast demand, conversion, and revenue across customer interactions.

You will lead a team of data scientists, collaborate with Product, Engineering, IT, Finance, Operations and Marketing to translate analytics into scalable tools and decisions.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or related quantitative field.
• 8+ years of experience in data science, pricing analytics, revenue management, forecasting, or advanced analytics.
• Must have customer facing experience and ability to lead a team.

Responsibilities

• Lead Pricing & Revenue Science Team with Data Scientists and pricing analytics professionals.
• Design pricing experiments, build demand and revenue forecasts, and optimize capacity.
• Translate analytical work into scalable decision tools and operating processes.
• Present recommendations to senior leaders and drive cross-functional collaboration.

Skills

SQL

Python

Statistics

Econometrics

Data storytelling

Education

Bachelor's degree in Data Science / Statistics / CS / Economics

Master's or PhD preferred

Tools

Git

Job description

Job Category: Marketing

Requisition Number: DIREC007067

• Posted : October 9, 2026
• Full-Time
• Hybrid

Locations

Showing 1 location

Clearwater, FL 33762, USA

Description

Build the Future of Pricing at PODS

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 theDirector 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.

What You’ll Do

MANAGEMENT & SUPERVISORY RESPONSIBILTIES

• 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.

Day to day, you will:

• 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

Who We’re Looking For

We’re looking for a strategic thinker who combines strong analytical capabilities with business acumen, executive presence, and leadership skills. Prior pricing experience is valued but not required; the ability to rapidly learn a new domain, build a product roadmap with actual milestones, and lead a team that does rigorous work is essential. This is a high-autonomy, high-accountability role at the intersection of strategy, data, and execution.

What You Bring

• 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.
• 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

Why You’ll Love Working at PODS

PODS is a recognized leader in the moving and storage industry, known for innovation, operational excellence, and a strong people-first culture. We believe strong teams drive strong results. At PODS, you’ll find a culture built on collaboration, accountability, integrity, and continuous improvement. Our core values – We Care, We Work as a Team, and We Find a Way – are the guiding principles behind everything we do.

PODS offers a competitive compensation package that includes medical, dental, and vision coverage, a 401(k) with company match, bonus opportunities, paid time off, and employee storage discounts. Compensation is based on experience, qualifications, and internal equity.

Equal Opportunity Employer
PODS Enterprises, LLC is an Equal Opportunity and Aff…

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.