Senior Manager - Data Science

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

Job summary

PODS Enterprises, LLC is seeking a Senior Manager to own the roadmap for Pricing & Revenue Science and to lead the development of models that forecast demand, price sensitivity, and revenue performance. The role partners with Product, Engineering, IT, Finance, and Marketing to translate analytics into scalable tools and processes.

You will lead a team of data scientists, set analytical standards, and drive experimentation and measurement frameworks to optimize conversion, margin, and capacity.

Qualifications

• Deep experience leading applied data science or decision science in pricing, revenue management, forecasting, optimization, marketplace economics, or related analytics.
• Strong fluency in SQL and Python; experience with R is a plus.
• Strong statistics and econometrics knowledge including regression, hypothesis testing, causal inference, and validation.
• Experience with predictive modeling, ML, forecasting, elasticity modeling, and optimization.
• Familiarity with pandas, NumPy, scikit-learn, statsmodels, cloud data warehouses, and Git.
• Ability to productionize analytical models with data pipelines, APIs, monitoring, and deployment lifecycle.
• Ability to translate technical findings into clear business recommendations and influence leaders.
• Proven track record leading high-impact initiatives and building teams.

Responsibilities

• Own the roadmap for Pricing & Revenue Science and lead model development and application.
• Design pricing and business experiments; build demand and revenue forecasts.
• Develop optimization approaches balancing conversion, margin, and capacity.
• Create frameworks to quantify impact of geography, seasonality, inventory, customer segments, and competition.
• Establish standards for causal measurement, validation, data quality, reproducibility, and monitoring.
• Partner with Product, Engineering, IT, Finance, Operations, Marketing to translate analytics into decision tools.
• Lead root-cause analyses when performance shifts and communicate recommendations to senior leaders.
• Coach a high-performing team of data scientists and analysts.

Skills

Data science leadership

SQL

Python

R

Statistics

Econometrics

Causal inference

Experiment design

Predictive modeling

Machine learning

Forecasting

Elasticity modeling

Optimization

Model evaluation

Explainability

Pandas/NumPy

scikit-learn

Statsmodels

Cloud data warehouses

Git/version control

Productionization

Communication

Stakeholder influence

Leadership

Reproducibility

Experience leading data scientists

Education

Bachelor's degree

Master's or PhD preferred

Tools

Jupyter/Notebook

Job description

The Senior Manager will own the roadmap for Pricing & Revenue Science and 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 Senior Manager 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.

MANAGEMENT & SUPERVISORY RESPONSIBILTIES

• Reports to Vice President, Digital
• Directly manages the Pricing & Revenue Science Team, including Data Scientists and pricing/revenue analytics professionals. Full management authority including hiring, performance management, compensation decisions, and terminations. Responsible for team priorities, analytical standards, and vendor/partner oversight as applicable.

JOB QUALIFICATIONS: Essential Skills, Abilities and Example Behavior(s)

• 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, 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

JOB QUALIFICATIONS: Education & Experience 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

PHYSICAL REQUIREMENTS

• Ability to sit at a desk and use a computer for extended periods; vision sufficient to view details on a computer monitor
• Ability to stand and walk up to 8 hours a day; ability to stoop, bend and lift boxes weighing up to 50 lbs.
• Ability to hear and verbally communicate using a telephone handset and/or connected headset device

WORKING CONDITIONS

• Regular business hours. Some additional hours may be required.
• Climate-controlled office environment during normal business hours.
• Regular attendance and punctuality required
• May be subject to pre-employment criminal background check and/or drug screening as well as random drug screenings in accordance with company policy

DISCLAIMER

The preceding job description has been designed to indicate the general nature of work performed; the level of knowledge and skills typically required; and usual working conditions of this position. It is not designed to contain, or be interpreted as, a comprehensive listing of all requirements or responsibilities that may be required by employees in this job.

PODS Enterprises, LLC is an Equal Opportunity, Aff…? Actually: We will not discriminate unlawfully against qualified applicants or employees with respect to any term or condition of employment based on race, color, national origin, ancestry, sex, sexual orientation, age, religion, physical or mental disability, marital status, place of birth, military service status, or other basis protected by law.

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.