Data Scientist I at PODS

PODS; Clearwater (FL); On-site; USD 110,000 - 170,000; Full time

Job summary

PODS is seeking a data scientist on the Revenue Science team to drive pricing strategy and analytics. You will work with senior data scientists, pricing analysts, and product managers to turn commercial questions into rigorous, testable answers using Python, Snowflake, and modern data tooling.

As a on-site role in Clearwater, FL, you will build models, design experiments, and develop dashboards that surface model outputs for operational decisions worth millions of dollars to the business.

Qualifications

• Bachelor's degree in a quantitative field; Master's preferred.
• 3+ years of applied data science or analytics experience, with pricing, demand, or revenue focus.
• Hands-on SQL on a modern cloud data warehouse (Snowflake preferred).
• Python for analysis with standard ML libraries.
• Experience with multiple causal inference techniques is a plus.
• Experience in moving, logistics, e-commerce, or capacity-constrained businesses is a plus.

Responsibilities

• Build models and analyses that inform pricing decisions.
• Develop elasticity, conversion and demand models across corridors, segments and channels.
• Quantify the impact of pricing actions on conversion, utilization, and revenue.
• Design and analyze experiments, including A/B test design and power calculations.
• Run causal analyses when randomization is not feasible and translate results.
• Build reproducible analytical assets in Python and Snowflake; create dashboards for users.
• Present findings to leadership and explain methods clearly to non-technical stakeholders.

Skills

Statistical modeling

Causal inference

Experiment design

SQL

Python

AI tools usage

Communication

Education

Bachelor's degree

Master's preferred

Tools

Snowflake

Python for analysis

Pandas

scikit-learn

statsmodels

Job description

Job Summary

PODS is building the analytical infrastructure to understand customer behavior, quantify price elasticity, and inform daily commercial decisions across our long-distance and local moving businesses. As a Data Scientist on the Revenue Science team, you'll report to the Director of Pricing Strategy and Analytics and partner with senior data scientists, pricing analysts, and product managers to turn commercial questions into rigorous, testable answers. You'll spend your time in Snowflake, Python, and experiment design, producing analyses that feed pricing decisions worth millions of dollars to the business.

Job type: Full time on site position. Location: Clearwater, FL, US.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Build models and analyses that inform pricing decisions:
  • Estimate price elasticity at the corridor, segment, and channel level using observational and experimental data.
  • Develop conversion and demand models that account for price, mix, channel, and seasonality.
  • Quantify the impact of pricing actions on conversion, container utilization, and lifetime revenue.
• Design and analyze experiments:
  • Partner with senior data scientists and pricing analysts on A/B test design, including power calculations, exposure rules, and metric definitions.
  • Run causal analyses (difference-in-differences, synthetic control, regression discontinuity) when randomization is not feasible.
  • Translate test results into clear recommendations with quantified uncertainty.
• Build reproducible analytical assets:
  • Author analyses in Python using modern data tooling (pandas, scikit-learn, statsmodels, or similar).
  • Develop and maintain key data models in Snowflake that other analysts and downstream tools rely on.
  • Build dashboards and reports that surface model outputs in a form operational users can act on.
• Communicate findings clearly:
  • Present results to the Director of Pricing Strategy and Analytics and the broader Revenue Science team.
  • Explain methodology and limitations in plain language for non-technical stakeholders.
  • Document analyses so that conclusions are reproducible and reviewable by peers.

MANAGEMENT & SUPERVISORY RESPONSIBILITIES

This role does not have direct reports and reports to the Director of Pricing Strategy and Analytics. Other duties as assigned.

JOB QUALIFICATIONS

Essential Skills, Abilities and Example Behavior(s):

• Statistical modeling fluency: Solid grounding in regression, generalized linear models, and applied ML techniques, with good judgment about which method fits which question.
• Applied causal inference: Working knowledge of one or more quasi-experimental techniques (difference-in-differences, synthetic control, instrumental variables, or regression discontinuity), with the ability to apply an appropriate method to a given question.
• Experiment design and analysis: Hands‑on experience with A/B testing, including power calculations, metric definitions, and interpreting results.
• SQL and Python fluency: Production-quality SQL on a modern cloud data warehouse (Snowflake preferred) and Python (pandas, scikit‑learn, statsmodels, or equivalent stack).
• AI‑accelerated analytical workflows: Demonstrated use of AI tools (Claude, Cursor, Copilot, or similar) to accelerate code, query, and documentation work, with judgment about when AI output requires verification.
• Clear communication: Ability to explain methodology and results in plain language to non‑technical stakeholders, both in writing and in person.

JOB QUALIFICATIONS

Education & Experience Requirements

• Bachelor's degree in a quantitative field (Statistics, Economics, Operations Research, Computer Science, Engineering, Mathematics, or similar) required; Master's preferred.
• 3+ years of applied data science or quantitative analytics experience, with hands‑on work on pricing, demand, conversion, marketing, or revenue problems.
• Hands‑on experience with SQL on a modern cloud data warehouse (Snowflake preferred) and with Python for analysis.
• Experience with multiple causal inference techniques or with applied Bayesian methods is a plus.
• Experience in moving, logistics, e‑commerce, travel/hospitality, or other capacity-constrained consumer businesses is a plus.

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 (https://www.eeoc.gov/poster) notice from the Department of Labor.