Full-Time

Data Scientist

Capacity

Updated on 12/20/2024

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
Data Science
R
SQL
Computer Networking
Julia
Tableau
Looker
Data Analysis
Requirements
  • You have a minimum of 1-3 years of experience
  • You excel at wrangling data, and this is your professional passion
  • You have good SQL skills and understand core principles of database design
  • You have experience working with Data Warehouses and/or Data Lakes
  • You have working experience with programming languages like Python, R, Julia
  • You are skilled at data visualization and working with BI software (e.g. Looker, Tableau, Power BI, Excel, Plotly, GGplot2, R-shiny, etc)
  • You are 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 uses a fully managed, bare metal serverless Kubernetes platform, which enhances performance while minimizing operational burdens for clients. Unlike many competitors, CoreWeave offers a wide selection of NVIDIA GPUs, enabling clients to optimize their performance and costs based on specific needs. The company's goal is to provide efficient and scalable computing resources that meet the growing demands of various industries.

Company Stage

Private

Total Funding

$1.6B

Headquarters

New York City, New York

Founded

2017

Growth & Insights
Headcount

6 month growth

35%

1 year growth

146%

2 year growth

828%
Simplify Jobs

Simplify's Take

What believers are saying

  • CoreWeave's strategic partnership with Dell enhances their AI cloud service competitiveness.
  • The planned data center in Canada with Cohere expands CoreWeave's North American presence.
  • CoreWeave's $600M funding for a Virginia data center indicates strong growth potential.

What critics are saying

  • Increased competition from AMD-backed Vultr may lead to price wars.
  • Potential delays in Virginia data center completion could impact demand fulfillment.
  • Dependence on NVIDIA technology poses risks if supply chain issues arise.

What makes CoreWeave unique

  • CoreWeave specializes in GPU-accelerated workloads, catering to AI and VFX industries.
  • 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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