Pricing & Revenue Science Leader — Strategic Data Leadership

PODS; Clearwater (FL); On-site; USD 140,000 - 190,000; Full time

Job summary

PODS is seeking a Senior Manager to own the roadmap for Pricing & Revenue Science and lead the development of models that explain and forecast demand, price sensitivity, and revenue performance. You will design experiments, build forecasts, and partner with Product, Engineering, IT, Finance, and Marketing to turn analysis into scalable decision tools.

You will guide a team of data scientists and analytics professionals, establish rigorous standards for measurement and reproducibility, and

Qualifications

• Deep experience leading applied data science in pricing, revenue management, forecasting, optimization
• Strong hands-on fluency in SQL and Python; R 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, explainability, and business applicability
• Familiarity with modern data science tooling and environments, including the Python analytics ecosystem (e.g., pandas, NumPy, scikit-learn, statsmodels 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

Responsibilities

• Own roadmap for Pricing & Revenue Science.
• Develop and apply models to explain and forecast demand, conversion, price sensitivity, utilization, and revenue.
• Design pricing experiments; build forecasts; develop optimization approaches that balance conversion, margin, and capacity.
• Establish standards for causal measurement, model validation, data quality, reproducibility, monitoring, and post-deployment performance.
• Partner with Product, Engineering, IT, Finance, Operations, Marketing, and other business teams to translate analytical work into scalable decision tools and operating processes.
• Lead root-cause analysis when performance shifts, communicate recommendations to senior leaders, and coach a high-performing team of data scientists and analytical professionals.

Skills

SQL & Python

Statistics & Econometrics

Predictive Modeling

Elasticity Modeling

Data Science Tooling

Model Deployment

Business Communication

Leadership & Mentorship

Education

Bachelor's degree in Data Science or related field

Master's degree or PhD preferred

Tools

SQL

Python

R

Git

Cloud data warehouses

Job description

PODS is seeking a Senior Manager to own the roadmap for Pricing & Revenue Science and lead the development of models that explain and forecast demand, price sensitivity, and revenue performance. You will design experiments, build forecasts, and partner with Product, Engineering, IT, Finance, and Marketing to turn analysis into scalable decision tools.

You will guide a team of data scientists and analytics professionals, establish rigorous standards for measurement and reproducibility, and