Cloud Cost Optimization Data Scientist

4 weeks ago


Mountain View, California, United States Databricks Full time

About the Role:

We are seeking a highly skilled Cloud Cost Optimization Data Scientist to join our Data Team at Databricks. As a key member of our team, you will play a critical role in helping us build a data-driven culture within the company.

Key Responsibilities:

  • Develop and implement models for cloud cost forecasting and optimization.
  • Analyze current cloud expenditures and identify opportunities to scale cost for a growing business.
  • Provide insights for future cloud usage planning and budgeting for an evolving infrastructure footprint.
  • Collaborate with Eng and Tech Ops to ensure understanding between cloud usage and goals.
  • Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven.

Requirements:

  • Understanding of cloud architecture and its possible effects on cost, performance, and scalability.
  • Knowledge of best practices for designing scalable and cost-effective solutions in the cloud.
  • Experience with the cost reporting and management tools of cloud service providers.
  • Familiarity with specific cost optimization strategies such as reserved instances, spot instances, scalable computing resources, and efficient data storage options.
  • 7+ years of data science, machine learning, advanced analytics experience in high-velocity, high-growth companies.
  • Experience deploying Data Science / ML solutions in production for achieving results.
  • Coding skills in Python and SQL.
  • Experience with distributed data processing systems like Spark and familiarity with software engineering principles around testing, code reviews, and deployment.

About Databricks:

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI.

We are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.



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