Principal Data Scientist - AI/ML - Remote

Overview

CloudZero is at the forefront of revolutionizing how cloud-driven companies manage and optimize their cloud spend. We empower organizations to make smarter decisions that drive growth and efficiency by bridging the gap between cloud costs and business outcomes. Now, we’re seeking an experienced Principal Data Scientist - AI/ML to lead the charge in AI for FinOps and cloud cost optimization, tackling one of the most complex challenges in modern tech: transforming cloud cost data into actionable business intelligence. This role is instrumental in driving the future of cloud optimization at CloudZero.

In Short

• Be a Pioneer: Lead the development of AI solutions in FinOps and business optimization—an area critical to cloud-native organizations.
• Tackle Complex Problems: Address one of cloud businesses' hardest and most critical challenges, connecting their technology investments to revenue and other key business metrics.
• Shape the Future: Develop ML and AI-driven innovations that redefine how organizations understand and act on their cloud costs.
• Build Impactful Technology: Collaborate with world-class teams to design solutions that enable businesses to operate more efficiently and strategically in the cloud.

Requirements

• AI/ML Expertise: Proven experience building and deploying AL/ML models (e.g., regression, classification, NLP, deep learning) using modern frameworks and AWS services like Bedrock and SageMaker.
• Cloud Savvy: A strong understanding of cloud platforms (AWS, Azure, GCP) and their cost structures. Experience with cloud cost optimization tools is a plus.
• Programming Skills: Proficiency in Python, R, or similar languages widely used in the data science community. Experience with data processing tools (e.g., Pandas, dbt, Airflow).
• Data Handling: Expertise in working with large-scale, unstructured datasets and data pipelines. Knowledge of databases (Snowflake, Postgres, DynamoDB) and ETL/ELT processes.
• Strategic Mindset: A passion for solving complex business problems through AI/ML. Experience in FinOps or financial modeling is highly desirable.
• Collaboration & Communication: Ability to work cross-functionally with technical and non-technical teams to translate AI/ML insights into actionable outcomes.
• Educational Background: Bachelor's or Master's degree in Computer Science, Statistics, or a related field desired; PhD a plus. 5+ years of industry experience developing AI/ML systems in production.

Benefits

• Innovative work environment with a focus on cutting-edge technology.
• Opportunity to lead significant projects in cloud optimization.
• Collaborative culture with talented teams.
• Flexible working arrangements.
• Competitive compensation package.