Data Scientist

North; New York (NY); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Unlimited PTO

16 weeks of paid parental leave

Two company-wide breaks per year

Aetna Medical PPO plan

Dental and vision insurance

Flexible spending account (FSA)

30 day sabbatical every 4 years

Job summary

North is looking for a data scientist to join the Commitments team in New York. You’ll own the analysis behind coverage targets and purchase recommendations, building on usage forecasts to help customers save money and inform North’s decisions.

You’ll work closely with engineers and product teams to quantify risk and savings, turn insights into concrete recommendations, and define how we measure success. This hybrid role is based in NYC with some in-office days and US remote options.

Qualifications

• 4+ years of experience as a data scientist, influencing product/business decisions.
• Strong foundation in statistics, turning forecasts into actionable decisions.
• Fluency in Python and SQL, comfortable with large, messy usage/billing datasets.

Responsibilities

• Analyze how usage forecasts translate into coverage targets and buy recommendations.
• Quantify risk and expected savings for each recommendation.
• Analyze commitment performance across customers to identify where the approach works or needs adjustment.
• Collaborate with engineers to implement findings and measure impact.
• Define how to measure recommendation quality and report in business terms.
• Explain methods and results clearly to engineers, product, and customer-facing teams.

Skills

Python

SQL

Statistics

Forecasting

Decision-making under uncertainty

Communication

Tools

AWS

Job description

About the role

North saves customers money by buying and managing cloud commitments on their behalf. Every recommendation depends on predicting how a customer’s usage will change, and every mistake costs real money, either in missed savings or in commitments that go unused.

You’ll join the Commitments team, working day to day with the engineers who build our Flex and Auto offerings. You’ll own the analysis behind coverage targets and purchase recommendations, building on the usage forecasts from our forecasting service.

What You’ll Do

• Analyze how usage forecasts become coverage targets and purchase recommendations, and work with Commitments engineers on how to improve them.
• Quantify risk and expected savings for each recommendation so customers and our team can trust the numbers.
• Analyze commitment performance across customers to find where our approach works and where it doesn’t.
• Work with engineers to turn your findings into product changes, and measure their impact.
• Define how we measure recommendation quality, and report on it in terms the business understands.
• Explain your methods and results clearly to engineers, product, and customer-facing teams.

What We’re Looking For

• 4+ years of experience as a data scientist, where your analysis shaped product or business decisions.
• Strong foundation in statistics, with experience turning forecasts into decisions.
• Fluency in Python and SQL, and comfort working with large, messy usage and billing datasets.
• Experience with optimization or decision-making under uncertainty.
• Experience working closely with engineers and product, and turning complex analysis into practical recommendations.
• Clear writing, and the ability to explain uncertainty to people who need to make a decision.
• Pragmatic, informed use of AI tools to speed up analysis and coding.

Nice to Have

• Experience with cloud pricing, reserved instances, savings plans, or committed use discounts.
• Background in finance, pricing, or risk modeling.
• Experience with machine learning methods.
• Experience designing experiments or causal analyses to measure the impact of changes.
• Experience working with large datasets on AWS.
• Familiarity with FinOps concepts.

Work Setup

Hybrid role based in New York City, with an office in Dumbo, Brooklyn

Team members typically work in the office 2–3 days per week

OR Remote US

Benefits

• Unlimited PTO
• 16 weeks of paid parental leave (birthing parents receive an additional 4 weeks at 50% pay)
• Two company-wide breaks per year: one around Labor Day and one at the end of the year
• Aetna Medical PPO plan with the majority of the premium covered by North
• Dental and vision insurance
• Flexible spending account (FSA) for health expenses and commuter benefits
• 30 day sabbatical every 4 years