Data Scientist

North • New York, NY

7d • $178,000 - $220,000 • Hybrid

About The Position

North helps customers save money by buying and managing cloud commitments on their behalf. The Data Scientist will join the Commitments team and work day to day with engineers building North’s Flex and Auto offerings. The role owns analysis behind coverage targets and purchase recommendations, building on usage forecasts from North’s forecasting service. It focuses on quantifying the risk and expected savings of recommendations, assessing their performance across customers, and translating findings into product changes. The Data Scientist will also define and report on recommendation quality and explain methods and results to engineering, product, and customer-facing teams.

This is a 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. The role may also be remote within the US.

Requirements

• At least 4 years of experience as a data scientist, with analysis that shaped product or business decisions.
• Strong foundation in statistics and 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 engineering and product teams and turning complex analysis into practical recommendations.
• Clear writing skills and ability to explain uncertainty to people making decisions.
• Pragmatic, informed use of AI tools to speed up analysis and coding.

Nice To Haves

• 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.

Responsibilities

• Analyze how usage forecasts translate into coverage targets and purchase recommendations, and work with Commitments engineers to improve them.
• Quantify the risk and expected savings of each recommendation.
• Analyze commitment performance across customers to identify where the approach works and where it does not.
• Work with engineers to turn analytical findings into product changes and measure their impact.
• Define measures of recommendation quality and report results in business-relevant terms.
• Clearly explain methods and results to engineers, product teams, and customer-facing teams.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed