Data Scientist

North Cloud; New York (NY); Hybrid; USD 178,000 - 220,000; Full time

Benefits offered by this job

Unlimited PTO

Parental leave

Company breaks

Medical + Dental + Vision insurance

FSA

Job summary

North Cloud is building the financial operating system for the public cloud, offering real-time visibility and automation over cloud spend. As a data scientist on the Commitments team, you’ll forecast usage, assess coverage targets, and guide purchase recommendations to help customers save money while building scalable cloud strategies.

You will partner with engineers and product teams to turn analyses into actionable improvements, quantify risk, and clearly communicate uncertainty to

Qualifications

• Must have 4+ years as a data scientist with impact on product or business decisions.
• Strong foundation in statistics and experience turning forecasts into decisions.
• Fluency in Python and SQL with large, messy usage and billing datasets.
• Experience with optimization or decision-making under uncertainty.
• Ability to explain uncertainty to non-technical stakeholders and cross-functional teams.

Responsibilities

• Analyze how usage forecasts become coverage targets and purchase recommendations, and collaborate with Commitments engineers to improve them.
• Quantify risk and expected savings for each recommendation to build trust in numbers.
• Analyze commitment performance across customers to identify effective approaches.
• Collaborate with engineers to translate findings into product changes and measure impact.
• Define metrics for recommendation quality and report in business terms.
• Explain methods and results clearly to engineers, product, and customer-facing teams.

Skills

Python

SQL

Statistics

Forecasting

Uncertainty estimation

Communication

AI tooling

Tools

AWS

Job description

The public cloud is rapidly evolving, with businesses investing over $200 billion annually in cloud technology. As AI accelerates demand for scalable infrastructure, cloud costs are soaring, and most teams still rely on spreadsheets to manage them.

At North, we’re building the next-generation cloud, AI, and data spend management platform. We give companies real-time visibility, control, and automation over their digital asset finances so they can grow efficiently without wasting time or money.

Backed by top-tier investors and trusted by companies managing complex cloud environments, North is building the financial operating system for the public cloud.

The public cloud is rapidly evolving, with businesses investing over $200 billion annually in cloud technology. As AI accelerates demand for scalable infrastructure, cloud costs are soaring, and most teams still rely on spreadsheets to manage them.

At North, we’re building the next-generation cloud, AI, and data spend management platform. We give companies real-time visibility, control, and automation over their digital asset finances so they can grow efficiently without wasting time or money.

Backed by top-tier investors and trusted by companies managing complex cloud environments, North is building the financial operating system for the public cloud.

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

• 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

The pay range for this role is:

178,000 - 220,000 USD per year (Brooklyn HQ)

170,000 - 215,000 USD per year (US Remote)