Data Scientist (Cost Optimization)

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)