Cost-Optimization Data Scientist — Flexible Hours & Impact

US-Mobile; New York (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Annual company offsite and hackathon

Competitive Salary

Gym reimbursement

Commute reimbursement

Flexible working hours

Professional development stipend

Flexible time off

Cell phone service (up to $100/mo)

Job summary

US Mobile is seeking a Data Scientist, Cost Optimization to own the unit economics of our network costs and to build models that decide cost-efficient configurations for every line. You will validate those models against real financial data and translate your analysis into business decisions that drive action.

This role emphasizes decision science over machine learning, requires strong SQL and Python, and involves building production workflows using dbt and Redshift to support commercial

Qualifications

• 4+ years of experience in data science, decision science, operations research, pricing/optimization, or cost analytics.
• Hands-on experience formulating and solving optimization problems 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.

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.

Skills

SQL

Python

Optimization

Cost analytics

AI tooling

Business judgment

Tools

dbt

Redshift

Dagster

Airflow

Job description

US Mobile is seeking a Data Scientist, Cost Optimization to own the unit economics of our network costs and to build models that decide cost-efficient configurations for every line. You will validate those models against real financial data and translate your analysis into business decisions that drive action.

This role emphasizes decision science over machine learning, requires strong SQL and Python, and involves building production workflows using dbt and Redshift to support commercial