Full-Time

Data Scientist

Capacity

Confirmed live in the last 24 hours

CoreWeave

CoreWeave

501-1,000 employees

Cloud service for GPU-accelerated workloads

Enterprise Software
AI & Machine Learning

Compensation Overview

$115k - $150kAnnually

Junior, Mid

Livingston, NJ, USA + 3 more

More locations: Philadelphia, PA, USA | New York, NY, USA | Sunnyvale, CA, USA

Hybrid workplace; in-office presence required.

Category
Data Science
Data & Analytics
Required Skills
Power BI
Python
R
SQL
Computer Networking
Julia
Tableau
Looker
Data Analysis
Requirements
  • 1-3 years of experience
  • Good SQL skills and understand core principles of database design
  • Experience working with Data Warehouses and/or Data Lakes
  • Working experience with programming languages like Python, R, Julia
  • Skilled at data visualization and working with BI software (e.g. Looker, Tableau, Power BI, Excel, Plotly, GGplot2, R-shiny, etc)
  • Familiar with the basic components of modern cloud computing, including: virtual machines, hypervisors, and computer networking
Responsibilities
  • Contribute to the evolution of the Product and Capacity databases, and support historical data tracking, forecasting, dashboarding & reporting, metrics, demand analysis across our product lines.
  • Contribute to the development of data pipeline requirements with product, capacity, and engineering teams to help support new product launches and for evolving product roadmaps.
  • Collect, join, and maintain data in support of team objectives, while maintaining data quality and integrity and then digest data into consumable metrics for visualization.
  • Identify concerns and work with your manager and other teams to develop measurements, collect data, and provide resolution to challenging problems.
  • Incorporate product, hardware, and datacenter constraints into the solutions you produce, to ensure viability of the plans presented to stakeholders.
  • Gain understanding of various demand streams and product trends when developing forecast predictions that will be actioned by the company.
  • Perform data analysis by distilling large data sets and to inform business decisions that prioritize operational trade-offs and capital spend.
  • Contribute to capacity planning models and analytic tools that process relevant data and track capacity performance.

CoreWeave provides cloud computing services that focus on GPU-accelerated workloads, which are essential for tasks requiring high computational power like Generative AI, Machine Learning, and VFX rendering. Their services allow clients to access powerful computing resources without needing to invest in expensive hardware, operating on a pay-as-you-go model. This flexibility is particularly beneficial for tech companies, film studios, and enterprises that need scalable solutions. CoreWeave's infrastructure utilizes a bare metal serverless Kubernetes platform, which enhances performance while minimizing operational complexity for clients. Unlike many competitors, CoreWeave offers a wide range of NVIDIA GPUs, enabling clients to tailor their computing power to specific needs. The company's goal is to provide efficient and scalable cloud resources that meet the growing demands of industries reliant on high-performance computing.

Company Stage

Private

Total Funding

$1.6B

Headquarters

New York City, New York

Founded

2017

Growth & Insights
Headcount

6 month growth

53%

1 year growth

174%

2 year growth

828%
Simplify Jobs

Simplify's Take

What believers are saying

  • CoreWeave's partnership with Pure Storage enhances data storage for AI cloud services.
  • Deployment of NVIDIA GB200 NVL72 clusters positions CoreWeave at the forefront of AI infrastructure.
  • Microsoft's planned $10 billion investment indicates strong confidence in CoreWeave's growth potential.

What critics are saying

  • Increased competition from Nebius could impact CoreWeave's market share and pricing strategies.
  • Over-reliance on Pure Storage may limit CoreWeave's flexibility in adopting new technologies.
  • The planned $23 billion public listing could expose CoreWeave to market volatility and investor pressure.

What makes CoreWeave unique

  • CoreWeave specializes in GPU-accelerated workloads for AI, ML, and VFX rendering.
  • Their infrastructure uses bare metal serverless Kubernetes for high performance and reduced DevOps burden.
  • CoreWeave offers a broad selection of NVIDIA GPUs, optimizing performance and cost for clients.

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