Data Scientist, Core Infrastructure & Cloud Strategy

Confidential

San Francisco (CA)

On-site

USD 140,000 - 220,000

Full time

14 days+

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Job summary

United States Digital Space LLC is seeking a Data Scientist to analyze infrastructure usage and build models that predict demand and guide capacity planning. You will work with engineers, finance, and leadership to optimize compute provisioning and cost efficiency.

The role focuses on deploying data-driven strategies, interpreting telemetry data, and delivering actionable recommendations that improve reliability and scalability as the business grows.

Qualifications

  • PhD/MS/BS in a quantitative field with data science or modeling focus.
  • 3+ years with PhD, 6+ years with MS/MA, or 8+ years with BS/BA in data science or quantitative modeling.
  • Proficiency in SQL and a programming language (Python or R).
  • Experience analyzing logs/telemetry, scheduling optimization, or cloud infra engineering.
  • Ability to deliver multiple projects with strong attention to detail and communicate insights to leadership.

Responsibilities

  • Analyze infrastructure usage, efficiency, and workloads to predict demand and capacity planning.
  • Develop models and strategies for efficient compute resource consumption and provisioning.
  • Collaborate with engineers, leadership, and finance to ensure data-driven infra decisions.
  • Provide actionable insights to reduce costs and improve reliability of infrastructure.
  • Influence technical and financial strategies through rigorous analyses.

Skills

SQL
Python
R

Education

PhD in quantitative field
MS in quantitative field
BS in quantitative field

Tools

Spark
Hadoop

Job description

United States Digital Space LLC is seeking a Data Scientist to analyze infrastructure usage and build models that predict demand and guide capacity planning. You will work with engineers, finance, and leadership to optimize compute provisioning and cost efficiency.

The role focuses on deploying data-driven strategies, interpreting telemetry data, and delivering actionable recommendations that improve reliability and scalability as the business grows.

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