- USMobile
- New York, NY
- 47 days ago
- $140,000–$190,000
Data Scientist (Cost Optimization).
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Data Scientist (Cost Optimization): our view in 3 lines...
- The Role:This is a data science role focused on cost optimization, pricing, and usage-based financial modelling for a subscriber base.
- The Person:The person will build and run cost models, validate them against financial data, manage pooled usage and network spend, and move recommendations into production through automated workflows.
- Requirements:The role requires 4+ years of experience, strong SQL and Python skills, experience with optimization problems, and familiarity with dbt, Redshift, and AI tooling.
About the role
US Mobile is building the future of wireless communication. The goal: one unified network open to any person and any device, worldwide. Connection without walls.
We’re getting there by empowering customers. All three major networks on one phone and one plan, plus home internet from Starlink. No lock-in. No commitments. Custom fit plans at every price point. 24/7 customer support with real people, empowered to help. We get real-time feedback from Reddit, surveys, and customer support informing product roadmaps and everything we do. It’s working — we’re The Wirecutter’s favorite cellular carrier, and Consumer Reports has named us the top-rated mobile carrier two years in a row.*
And we’re building innovative systems that scale. A network agnostic tech stack. Agile, cross-functional teams built on trust and mutual respect. This work isn’t for everyone. If you work fast, flexibly, and collaboratively — without compromising standards — we want to hear from you.
We’re looking for a **Data Scientist, Cost Optimization** to own the unit economics of our network costs. You’ll build the models and optimizations that decide the most cost-efficient configuration for every line on our networks, validate those models against real financial data, and turn your analysis into decisions the business acts on. This is decision science more than machine learning — and business judgment matters as much as the math.