Data Scientist (Cost Optimization)
About The Position
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 are empowering customers by offering all three major networks on one phone and one plan, plus home internet from Starlink, with no lock-in or commitments. They provide custom-fit plans at every price point and 24/7 customer support with real people. The company values real-time feedback from customers and uses it to inform product roadmaps. US Mobile has been recognized by The Wirecutter as their favorite cellular carrier and by Consumer Reports as the top-rated mobile carrier for two consecutive years. They are building innovative, scalable systems with a network-agnostic tech stack and agile, cross-functional teams built on trust and mutual respect. This role is for individuals who work fast, flexibly, and collaboratively without compromising standards. We are looking for a Data Scientist, Cost Optimization to own the unit economics of our network costs. This role involves building models and optimizations to determine the most cost-efficient configuration for every line on our networks, validating these models against real financial data, and translating analysis into actionable business decisions. This position emphasizes decision science over machine learning, where business judgment is as crucial as mathematical expertise.
Requirements
- 4+ years of experience in data science, decision science, operations research, pricing/optimization, or cost analytics — ideally where your recommendations carried 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 your day-to-day workflow — LLM-assisted coding or prompt-driven data exploration.
- Strong communication skills, with a bias toward clear recommendations and measurable business impact.
Nice To Haves
- Telecom, MVNO, or other usage-based/wholesale cost domain experience; cloud cost management (FinOps).
- Experience with dbt and a modern orchestrator (Dagster, Airflow, or similar).
Responsibilities
- Build and run the cost models and optimizations that determine the most efficient plan configuration across our subscriber base.
- Validate cost models against carrier invoices and financial data; investigate and resolve 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 the underlying data models using dbt, Redshift, and related tools.
- Use AI tooling to accelerate modeling, analysis, SQL/dbt work, and documentation.
Benefits
- Annual company offsite and hackathon in a global destination. Past locations include Dubai, Japan, and Hawaii, with New Zealand planned for 2027
- Competitive Salary
- Gym reimbursement
- Commute reimbursement
- Flexible working hours
- Professional development stipend
- Flexible time off
- Cell phone service (up to $100/mo)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
