Data Scientist (Cost Optimization)
✨ AI Summary
US Mobile, a top-rated wireless carrier building a unified network across major carriers and Starlink, is hiring a Data Scientist for Cost Optimization in New York City. This decision-science role owns unit economics, building cost models and optimizations to determine the most efficient plan configurations, validated against carrier invoices. Requires 4+ years in data science or cost analytics, strong SQL and Python, optimization experience, and daily use of AI tooling; dbt/Redshift and telecom experience are a plus. Perks include competitive salary, flexible time off, gym/commute reimbursement, and global company offsites.
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.
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About the Company
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