Data Scientist

Who you are

• 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
• 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)

What the job involves

• 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