Cost Optimization Data Scientist

US Mobile; New York (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Annual company offsite and hackathon

Competitive Salary

Gym reimbursement

Commute reimbursement

Flexible working hours

Professional development stipend

Flexible time off

Cell phone service (up to $100/mo)

Job summary

US Mobile is seeking a Data Scientist, Cost Optimization to own unit economics of network costs, building models and validations against invoices to drive cost-efficient configurations for every line on our networks.

This role involves pricing scenario modeling, data modeling with dbt/Redshift, and applying AI-assisted coding to accelerate analysis, with a focus on actionable business impact.

Qualifications

• 4+ years of experience in data science, decision science, operations research, pricing/optimization, or cost analytics; ideally with financial impact.

Responsibilities

• Build and run cost models and optimizations to determine the most efficient plan configuration across the subscriber base.

Skills

SQL

Python

Cost optimization

Decision science

Experience with large datasets

AI tooling in workflow

Communication skills

Business judgment

End-to-end ownership

Tools

dbt

Redshift

Dagster

Airflow

SQL tooling

Job description

US Mobile is seeking a Data Scientist, Cost Optimization to own unit economics of network costs, building models and validations against invoices to drive cost-efficient configurations for every line on our networks.

This role involves pricing scenario modeling, data modeling with dbt/Redshift, and applying AI-assisted coding to accelerate analysis, with a focus on actionable business impact.