Data Scientist (Cost Optimization)

US Mobile•New York City, NY

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 with features like all three major networks on one phone and one plan, home internet from Starlink, no lock-in, no commitments, custom fit plans, and 24/7 customer support with real people. The company values real-time feedback from various channels 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 operate with agile, cross-functional teams built on trust and mutual respect. This role is for individuals who work fast, flexibly, and collaboratively without compromising standards. The Data Scientist, Cost Optimization will own the unit economics of network costs, building models and optimizations for cost-efficient configuration, validating models against financial data, and translating analysis into actionable business decisions. This role emphasizes decision science and business judgment alongside 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.