Remote Data Scientist — Revenue Forecasting & ML Insights

Enterprise Mobility; St. Louis (MO); On-site; USD 120,000 - 160,000; Full time

Job summary

Enterprise Mobility is seeking a Data Scientist to transform data into actionable insights that improve business processes. You will develop cutting‑edge analytical products, create algorithms for automation, and apply causal inference to observational data to optimize strategies.

The role supports fully remote work within the United States (excluding Alaska and Hawaii) with occasional on‑site meetings in St.

Qualifications

• Master's degree in a Statistical or Mathematical field (e.g. Engineering, Social Science, or Statistics).
• Two or more years of experience with predictive models, statistical inference and deep learning.
• Experience using libraries like TensorFlow or PyTorch.
• Proficiency in Python or R.
• Authorized to work in the United States without sponsorship now or in the future.

Responsibilities

• Design and deploy advanced deep learning models to forecast demand for revenue management.
• Collaborate with cross‑functional teams to develop analytical solutions with measurable impact.
• Extract, clean, and manipulate structured and unstructured data from multiple sources.
• Perform exploratory data analysis to identify patterns and insights.
• Develop predictive models to support data‑driven decision making.
• Design and oversee experiments with accurate execution and interpretation of results.
• Apply causal inference techniques using observational data to uncover relationships.
• Prepare and present clear documentation and reports for technical and non‑technical audiences.

Skills

Python

R

Public speaking

Data analysis

Education

Master's degree in Statistics or Mathematics

Tools

TensorFlow

PyTorch

Job description

Enterprise Mobility is seeking a Data Scientist to transform data into actionable insights that improve business processes. You will develop cutting‑edge analytical products, create algorithms for automation, and apply causal inference to observational data to optimize strategies.

The role supports fully remote work within the United States (excluding Alaska and Hawaii) with occasional on‑site meetings in St.