Job Description
CoreWeave is seeking a Sr. Data Scientist to architect and scale the data infrastructure that serves as the backbone of our Integrated Planning and Capacity teams. As an AI hyperscaler our ability to manage GPU CPU and storage assets in real-time is the difference between leading the market and falling behind.
Currently our systems are in a nascent "bare minimum" stage. You will be responsible for leading the transition to a centralized production-grade database system. This is a heavy data engineering and software engineering-focused role where you will build the pipelines and transformations necessary to unify disparate metrics—ranging from power utilization and node health to customer capacity allocation data—into a single accurate source of truth. Your work will directly enable the dashboards used by operational planners and executives and provide the high-fidelity data required to develop autonomous data-based agents for quantitative decision-making.
Key Responsibilities- Architect Scalable Pipelines: Design build and maintain robust end-to-end data pipelines and transformations that aggregate data from across the organization including data center operations power metrics node provisioning and finance.
- Enable Advanced Analytics: Build and optimize the data structures that power real-time and near-real-time dashboards for operational capacity and demand managers.
- Support AI Agent Development: Ensure that data pipelines are architected to support the ongoing development of quantitative AI agents designed to synthesize complex data and inform high-stakes infrastructure decisions.
- Cross-Functional Synthesis: Partner with Data Center Operations Supply Chain Product and Finance to ensure technical pipelines accurately reflect the physical realities of data center bring-up and node health.
- System Robustness: Implement rigorous testing monitoring and quality-control frameworks to ensure the accuracy of metrics like power utilization storage consumption and quality fall-out.
Required:
- Education: Master’s or PhD in Computer Science Computer Engineering Operations Research or a related quantitative field.
- Experience: 6+ years of professional experience in data engineering or data science with a heavy emphasis on building production-grade planning systems (ERP MRP or similar operations tools).
- Software Engineering Expertise: Expert-level proficiency in Python and SQL is mandatory. Experience with modern data stack tools (e.g. dbt Airflow Snowflake/BigQuery) and software development best practices (version control CI/CD).
- Systems Thinking: Proven track record of taking "weak" or unstructured data environments and scaling them into robust automated architectures.
- Attention to Detail: A fanatical focus on data accuracy and the ability to audit complex transformations for logical consistency.
Desired:
- Domain Knowledge: Familiarity with AI infrastructure specifically GPU/CPU utilization metrics and data center operational constraints.
- Background: Prior experience in high-complexity environments such as cloud infrastructure semiconductor manufacturing or advanced logistics.
- Decision Science: Experience applying optimization techniques or Operations Research to supply-demand imbalances.
The base salary range for this role is $143000 to $210000. The starting salary will be determined based on job-related knowledge skills experience and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary our total rewards package includes a discretionary bonus equity awards and a comprehensive benefits program (all based on eligibility).
What We Offer
The range we’ve posted represents the typical compensation range for this role. To determine actual compensation we review the market rate for each candidate which can include a variety of factors. These include qualifications experience interview performance and location.
In addition to a competitive salary we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations benefits vary and are shared during the hiring process. These include:
- Medical dental and vision insurance - 100% paid for by CoreWeave
- Company-paid Life Insurance
- Voluntary supplemental life insurance
- Short and long-term disability insurance
- Flexible Spending Account
- Health Savings Account
- Tuition Reimbursement
- Ability to Participate in Employee Stock Purchase Program (ESPP)
- Mental Wellness Benefits through Spring Health
- Family-Forming support provided by Carrot
- Paid Parental Leave
- Flexible full-service childcare support with Kinside
- 401(k) with a generous employer match
- Flexible PTO
- Catered lunch each day in our office and data center locations
- A casual work environment
- A work culture focused on innovative disruption
California Applicants
California Consumer Privacy Act
Equal Opportunity & Accommodations
CoreWeave is an equal opportunity employer committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race color religion sex disability age sexual orientation gender identity national origin veteran status or genetic information.
As part of this commitment and consistent with the Americans with Disabilities Act (ADA) CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process unless such accommodation would cause an undue hardship. If reasonable accommodation is needed please contact: [email protected].
Export Control Compliance
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information applicant must either be (A) a U.S. person defined as a (i) U.S. citizen or national (ii) U.S. lawful permanent resident (green card holder) (iii) refugee under 8 U.S.C. § 1157 or (iv) asylee under 8 U.S.C. § 1158 (B) eligible to access the export controlled information without a required export authorization or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may for legitimate business reasons decline to pursue any export licensing process.
Skills Required
- Master's or PhD in Computer Science Computer Engineering Operations Research or related 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 like dbt Airflow Snowflake/BigQuery
- Proven track record of scaling weak data environments into robust architectures
- Attention to detail and data accuracy
What the Team is Saying
What We Do
CoreWeave the AI Hyperscaler™ delivers a cloud platform of cutting-edge software powering the next wave of AI. The company's technology provides enterprises and leading AI labs with cloud solutions for accelerated computing. Since 2017 CoreWeave has operated a growing footprint of data centers across the US and Europe. CoreWeave was ranked as one of the TIME100 most influential companies and featured on Forbes Cloud 100 ranking in 2024. Learn more at www.coreweave.com.
Why Work With Us
At CoreWeave we work hard have fun and move fast! Today we are a small growing team of intelligent genuine people that value different perspectives and approaches to solving complex problems. We foster an environment that champions collaboration and prioritizes innovative solutions. Here you are surrounded by the best.
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Date Posted
06/27/2026
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