Data Scientist (Cost Optimization)
Posted Updated
Description
- We’re looking for a Data Scientist, Cost Optimization to own the unit economics of our network costs.
- You’ll build the models and optimizations that decide the most cost-efficient configuration for every line on our networks, validate those models against real financial data, and turn your analysis into decisions the business acts on.
- This is decision science more than machine learning — and business judgment matters as much as the math
- 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
- Gym reimbursement
- Free cellular service on the best network in the US
- Free lunch in NYC office & fully stocked kitchen
- Metrocard reimbursement
- Flexible working hours
- Strong communication skills, with a bias toward clear recommendations and measurable business 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
- 4+ years of experience in data science, decision science, operations research, pricing/optimization, or cost analytics — ideally where your recommendations carried real financial impact
- Experience validating analytical models against external financial data (invoices, bills, or settlements)
- Strong SQL skills, including experience with large datasets, complex transformations, and performance optimization
- Demonstrated use of AI in your day-to-day workflow — LLM-assisted coding or prompt-driven data exploration
- Proficiency in Python
- Experience with dbt and a modern orchestrator (Dagster, Airflow, or similar)
- Telecom, MVNO, or other usage-based/wholesale cost domain experience; cloud cost management (FinOps)