Remote Data Scientist — Revenue Forecasting & Causal AI

PTR Global; St. Louis (MO); On-site; USD 110,000 - 165,000; Full time

Job summary

PTR Global is seeking a Data Scientist focused on revenue management to transform data into actionable insights and drive profitability. You will build advanced deep learning models to forecast demand, enabling data-driven decisions across branches and teams.

Collaborating with cross-functional partners, you will craft analytical solutions, manage end-to-end data processes, and communicate findings to technical and non-technical audiences. Remote-friendly with periodic on-site in St. Louis.

Qualifications

• Must be presently authorized to work in the U.S. without sponsorship
• Must reside in the United States (excluding Alaska/Hawaii)
• Must work CST core hours
• Master's degree in statistical or mathematical field
• 2+ years experience with predictive models and deep learning
• Experience with TensorFlow or PyTorch
• Proficiency in R or Python
• Security-conscious in daily responsibilities

Responsibilities

• Design and deploy deep learning models to forecast demand
• Enable branch-level decision-making to maximize revenue
• Collaborate with cross-functional teams to deliver analytical solutions
• Extract, clean, and manipulate structured/unstructured data from multiple sources
• Perform exploratory data analysis to identify patterns and insights
• Develop predictive models to support data-driven decisions
• Design and oversee experiments and interpret results
• Apply causal inference techniques to observational data
• Prepare documentation of methodologies, findings, and recommendations
• Create and present insightful reports for technical and non-technical audiences
• Partner with teams to operationalize analytical solutions

Skills

Python

R

TensorFlow

PyTorch

Deep learning

Education

Master's degree in statistics or math

Doctorate preferred

Tools

SQL

Observational data analysis

Job description

PTR Global is seeking a Data Scientist focused on revenue management to transform data into actionable insights and drive profitability. You will build advanced deep learning models to forecast demand, enabling data-driven decisions across branches and teams.

Collaborating with cross-functional partners, you will craft analytical solutions, manage end-to-end data processes, and communicate findings to technical and non-technical audiences. Remote-friendly with periodic on-site in St. Louis.