Full-Time

Data Scientist

Capacity

Confirmed live in the last 24 hours

CoreWeave

CoreWeave

501-1,000 employees

Cloud provider for GPU-accelerated workloads

Data & Analytics
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; requires in-office presence.

Category
Data Science
Data & Analytics
Required Skills
Power BI
Python
Data Science
R
SQL
Computer Networking
Julia
Tableau
Looker
Data Analysis
Requirements
  • You have 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's infrastructure is built on a bare metal serverless Kubernetes platform, which enhances performance while minimizing operational burdens for clients. By offering a variety of NVIDIA GPUs, they enable clients to optimize performance and costs based on their specific needs. The goal of CoreWeave is to provide efficient and scalable cloud computing resources tailored to industries that demand high-performance computing.

Company Stage

N/A

Total Funding

$2.3B

Headquarters

New York City, New York

Founded

2017

Growth & Insights
Headcount

6 month growth

53%

1 year growth

174%

2 year growth

842%
Simplify Jobs

Simplify's Take

What believers are saying

  • Securing $1.1 billion in funding positions CoreWeave for aggressive growth and innovation in the AI and HPC sectors.
  • The appointment of former AWS executive Chetan Kapoor as Chief Product Officer brings valuable expertise and leadership to drive product strategy during a hypergrowth phase.
  • CoreWeave's $2.2 billion investment in European data centers demonstrates their commitment to expanding global reach and meeting surging demand for AI infrastructure.

What critics are saying

  • The competitive landscape with giants like AWS launching high-core instances could pressure CoreWeave to continuously innovate to maintain its edge.
  • Rapid expansion, including significant investments in new data centers, could strain resources and operational capabilities.

What makes CoreWeave unique

  • CoreWeave specializes in GPU-accelerated workloads, setting it apart from general cloud service providers like AWS and Azure.
  • Their fully managed, bare metal serverless Kubernetes platform offers high performance with reduced operational burden, a unique selling point in the cloud computing market.
  • CoreWeave's strategic partnerships, such as with Bloom Energy for on-site power generation, enhance their infrastructure's reliability and sustainability.

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