About this role
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.
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 Have:
- 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).
Benefits and Perks:
- 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)