Data Scientist: Cloud Spend & Forecasting (Remote)

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

Benefits offered by this job

Unlimited PTO

Parental leave 16 weeks

Company breaks twice a year

Aetna Medical PPO insurance

Dental and vision insurance

FSA for health and commuter benefits

30 day sabbatical every 4 years

Job summary

North.Cloud is seeking a data scientist to join the Commitments team in New York, focusing on turning usage forecasts into coverage targets and purchase recommendations for cloud spend management.

You will quantify risk and potential savings, analyze cloud commitment performance, and work with engineers and product to translate insights into product changes. This hybrid US role offers remote options and strong benefits.

Qualifications

• 4+ years of data science experience shaping product or business decisions.
• Strong foundation in statistics and forecasting.
• Fluency in Python and SQL; comfortable with large usage/billing data.

Responsibilities

• Analyze usage forecasts to create coverage targets and purchase recommendations.
• Quantify risk and expected savings for each recommendation.
• Analyze commitment performance across customers and drive product changes.
• Collaborate with engineers and product to implement findings and measure impact.
• Define metrics for recommendation quality and report to business stakeholders.
• Explain methods and results clearly to engineers, product teams, and customers.

Skills

Python

SQL

Statistics

Forecasting

Experiment design

Communication

Cross-functional

AI tools

Tools

AWS

Job description

North.Cloud is seeking a data scientist to join the Commitments team in New York, focusing on turning usage forecasts into coverage targets and purchase recommendations for cloud spend management.

You will quantify risk and potential savings, analyze cloud commitment performance, and work with engineers and product to translate insights into product changes. This hybrid US role offers remote options and strong benefits.