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About the Role
Own the unit economics of network costs by building models and optimizations that determine the most cost-efficient configuration for every line on our networks. Validate models against financial data and translate analysis into actionable business decisions, emphasizing business judgment alongside mathematical expertise.
Responsibilities
- Build and run cost models and optimizations to determine the most efficient plan configuration across the subscriber base.
- Validate cost models against carrier invoices and financial data, investigating and resolving discrepancies.
- Monitor, forecast, and manage pooled usage and network spend, recommending corrective actions with quantified impact.
- Model pricing and contract scenarios on actual usage data to support commercial decision-making.
- Move recommendations into production through automated, auditable workflows and verify outcomes.
- Design, build, and maintain underlying data models using dbt, Redshift, and related tools.
- Use AI tooling to accelerate modeling, analysis, SQL/dbt work, and documentation.
Requirements
- 4+ years of experience in data science, decision science, operations research, pricing/optimization, or cost analytics, ideally with recommendations carrying real financial impact.
- Hands-on experience formulating and solving optimization problems (linear programming, cost modeling, marginal-cost analysis, or similar) that informed real business decisions.
- Strong business judgment, with experience owning a commercial or cost recommendation end-to-end.
- Strong SQL skills, including experience with large datasets, complex transformations, and performance optimization.
- Proficiency in Python.
- Experience validating analytical models against external financial data (invoices, bills, or settlements).
- Demonstrated use of AI in day-to-day workflow, such as LLM-assisted coding or prompt-driven data exploration.
- Strong communication skills, with a bias toward clear recommendations and measurable business impact.
Skills
- Optimization problems
- Cost modeling
- Marginal-cost analysis
- SQL
- Python
- AI tooling
- LLM-assisted coding
- Prompt-driven data exploration
- dbt
- Redshift
Location
- US
Work Type
- Flexible working hours
Experience Level
- 4+ years of experience
Salary/Compensations
- $140,000 - $190,000 a year
Benefits
- Annual company offsite and hackathon in a global destination
- Competitive Salary
- Gym reimbursement
- Commute reimbursement
- Flexible working hours
- Professional development stipend
- Flexible time off
- Cell phone service (up to $100/mo)
About the Company
- US Mobile is building the future of wireless communication with the goal of one unified network open to any person and any device, worldwide.
- They empower customers with all three major networks on one phone and one plan, plus home internet from Starlink, offering no lock-in, no commitments, and custom-fit plans.
- They provide 24/7 customer support with real people.
- They utilize real-time feedback from Reddit, surveys, and customer support to inform product roadmaps.
- They are The Wirecutter’s favorite cellular carrier and have been named the top-rated mobile carrier by Consumer Reports two years in a row.
- They are building innovative systems that scale with a network-agnostic tech stack and agile, cross-functional teams built on trust and mutual respect.
- They seek individuals who work fast, flexibly, and collaboratively without compromising standards.