Sr. Data Scientist, Capacity Planning & Analytics

Coreweave; Livingston (NJ); On-site; USD 143,000 - 210,000; Full time

Benefits offered by this job

100% paid medical, dental, and vision insurance

Company-paid life insurance

Short and long-term disability insurance

Flexible spending account

Health savings account

Tuition reimbursement

Employee stock purchase program

Mental wellness benefits

Paid parental leave

Flexible, full-service childcare support

401(k) with generous employer match

Flexible PTO

Catered lunch daily

Casual work environment

Job summary

CoreWeave is looking for a Sr. Data Scientist to lead the architecture and scaling of our data infrastructure. This role focuses on building robust data pipelines and supporting advanced analytics to inform crucial infrastructure decisions.

The ideal candidate will have extensive experience in data engineering, particularly in building production-grade systems and optimizing data structures for real-time analytics. You will impact our Integrated Planning and Capacity teams directly.

Qualifications

• Master's or PhD in Computer Science, Computer Engineering, or related quantitative field.
• 6+ years of professional experience in data engineering or data science.
• Expert-level proficiency in Python and SQL.
• Experience with modern data stack tools and software development best practices.
• Proven track record of scaling unstructured data environments.

Responsibilities

• Design and build scalable data pipelines for operations.
• Optimize data structures for real-time dashboards.
• Support development of quantitative AI agents.
• Ensure accuracy of operational data.
• Collaborate with cross-functional teams for data accuracy.

Skills

Python

SQL

Data Engineering

Data Science

AI Infrastructure

Systems Thinking

Education

Master’s or PhD in Computer Science or related field

Tools

dbt

Airflow

Snowflake

BigQuery

Job description

CoreWeave is looking for a Sr. Data Scientist to lead the architecture and scaling of our data infrastructure. This role focuses on building robust data pipelines and supporting advanced analytics to inform crucial infrastructure decisions.

The ideal candidate will have extensive experience in data engineering, particularly in building production-grade systems and optimizing data structures for real-time analytics. You will impact our Integrated Planning and Capacity teams directly.