Senior Data Scientist - End-to-End Pricing & Revenue

PODS

Clearwater (FL)

On-site

USD 140,000 - 190,000

Full time

2 days ago
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Job summary

PODS is building analytical infrastructure to understand customer behavior and price elasticity, informing daily decisions across moving services. As a Data Scientist 3, you own the full modeling pipeline, deploy real models, and mentor junior scientists on high-impact analyses.

You will lead pricing strategy analytics, design experiments, and communicate results to senior leadership, driving multi-million dollar impact with scalable, production-ready solutions.

Qualifications

  • Advanced degree in a quantitative field or equivalent applied experience.
  • 7+ years building and deploying models end to end as a senior contributor.
  • Experience owning pipeline, model, deployment, and stakeholder relationships.

Responsibilities

  • Own models end to end from design to production deployment.
  • Develop and monitor elasticity, demand, conversion, and forecasting models.
  • Solve pricing and capacity problems with LP/QP/MIP techniques.
  • Establish drift detection and model monitoring for reliability.
  • Define experiments and causal measurement with rigorous designs.
  • Ship production-grade pipelines with CI, orchestration, and containers.

Skills

Python
SQL
Statistical modeling
Causal inference
Optimization
Production deployment
Distributed compute
Cloud platforms
Executive communication
Mentorship

Education

Master’s or PhD in a quantitative field

Tools

Gurobi
CVXPY
OR-Tools
Airflow
Databricks
Snowflake
Azure
AWS
GCP
PySpark

Job description

PODS is building analytical infrastructure to understand customer behavior and price elasticity, informing daily decisions across moving services. As a Data Scientist 3, you own the full modeling pipeline, deploy real models, and mentor junior scientists on high-impact analyses.

You will lead pricing strategy analytics, design experiments, and communicate results to senior leadership, driving multi-million dollar impact with scalable, production-ready solutions.

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