Senior Manager – Data Science

PODS

. Own the roadmap for Pricing & Revenue Science .

Posted 9/22/2026full-timeRemote • Florida • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Pricing and Revenue Science, with a strong focus on data science methodologies, statistical analysis, and optimization techniques. Proven ability to lead teams, develop analytical frameworks, and communicate insights to senior leadership.

Highest-signal resume keywords

Data Science LeadershipPricing AnalyticsSQL ProficiencyPython FluencyStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data SciencePricing AnalyticsRevenue ManagementForecastingOptimizationPredictive ModelingMachine LearningExperimental DesignCausal InferenceApplied Econometrics

Soft Skills

Team LeadershipCommunicationCoachingDecision MakingRoot-Cause Analysis

Tools & Technologies

SQLPythonPandasNumPyScikit-learnStatsmodelsCloud Data WarehouseGitAPIsData Pipelines

Industry Keywords

Demand ForecastingRevenue PerformanceCausal MeasurementModel ValidationData QualityBusiness DriversMarket EconomicsHigh-Volume DecisionsAnalytical FrameworksPerformance Management

Tech Stack

Tools & technologies

CloudNumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Own the roadmap for Pricing & Revenue Science
Lead development and application of models explaining and forecasting demand, conversion, price sensitivity, utilization, and revenue performance
Design pricing and business experiments
Build demand and revenue forecasts
Develop optimization approaches balancing conversion, margin, and capacity
Create analytical frameworks measuring geography, mileage, seasonality, inventory availability, customer segment, competitive conditions, and other business drivers
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
Translate analytical work into scalable decision tools and operating processes
Lead root-cause analysis when performance shifts
Communicate recommendations to senior leaders
Coach a high-performing team of data scientists and analytical professionals
Directly manage the Pricing & Revenue Science Team, including Data Scientists and pricing/revenue analytics professionals
Make hiring, performance management, compensation, and termination decisions
Set team priorities and analytical standards
Oversee vendors and partners as applicable
Report to the Vice President, Digital

Requirements

What you’ll need

Bachelor's degree required in Data Science, Statistics, Computer Science, Economics, Applied Mathematics, Operations Research, Engineering, or a related quantitative field
8+ years of experience in data science, pricing analytics, revenue management, forecasting, optimization, or advanced analytics
At least 3 years leading or managing data scientists or analytical professionals
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
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
Familiarity with Python analytics tools such as pandas, NumPy, scikit-learn, and statsmodels or equivalents
Familiarity with cloud data warehouse/lake platforms and Git/version control
Working knowledge of data pipelines, APIs, model monitoring, drift, data quality, and deployment lifecycle practices
Experience applying predictive, experimental, forecasting, or optimization methods to high-volume commercial or operational decisions
Ability to pass pre-employment criminal background check and/or drug screening, and random drug screenings in accordance with company policy
Ability to sit at a desk and use a computer for extended periods
Ability to stand and walk up to 8 hours a day, 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
Regular attendance and punctuality required
Some additional hours may be required

Benefits

Comp & perks

Full-Time employment
Remote work arrangement
Climate-controlled office environment during normal business hours
Equal Opportunity, Affirmative Action Employer