CoreWeave
Senior Data Scientist, Sales Operations
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enable innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability.
About the Team The Sales Operations & GTM Analytics team empowers our Sales, Revenue Operations, Marketing, and Finance organizations with the data, insights, and frameworks required to accelerate growth. We build the analytical foundation that informs strategy, optimizes execution, and ensures every customer‑facing motion is guided by accurate, timely, and actionable intelligence.
About the Role As a Senior Data Scientist, Sales Operations, you will shape commercial strategy and enable data‑driven decision making across the GTM organization. You will architect the data foundations for Sales, build advanced analytical and machine‑learning models, and translate complex datasets into clear, strategic insights that guide forecasting, planning, segmentation, quota design, and GTM investments.
What You’ll Do
Partner with Sales, Revenue Operations, Marketing, and Finance to define the data foundation for GTM, including instrumentation, metric definitions, pipelines, dashboards, and reporting.
Design, build, and maintain scalable data models and statistical/ML frameworks (e.g., segmentation, lead scoring, win/loss analysis, churn prediction, propensity modeling).
Transform complex datasets into actionable commercial insights, identifying growth levers, bottlenecks, competitive dynamics, and customer behavior patterns and convert them into strategic recommendations.
Lead GTM planning cycles: develop forecasting models, scenario planning, what‑if analyses, target‑setting methodologies, and playbooks.
Produce executive‑level reporting and communicate insights and recommendations clearly to senior leadership and cross‑functional stakeholders.
Partner with data engineering/analytics teams to ensure data integrity, governance, and readiness for advanced analytics; uphold best practices in modeling, documentation, and reproducibility.
Drive experimentation: design A/B tests, pilots, and measurement frameworks for new GTM initiatives, product launches, and sales motions.
Own the end‑to‑end analytics lifecycle: data collection → modeling → insight generation → strategy → execution → measurement.
Mentor junior data scientists, analytics engineers, and BI professionals; help cultivate a data‑driven culture within Sales Operations.
Who You Are
6–10+ years of experience in data science, sales operations analytics, business intelligence, or commercial strategy roles within SaaS, cloud, infrastructure, or high‑growth technology environments.
Expertise with SQL, Python/R, large‑scale datasets, statistical modeling, machine‑learning methods, and data visualization tools.
Demonstrated ability to translate analytical outputs into strategic GTM recommendations and influence Sales/RevOps leadership.
Experience building forecasting models, segmentation frameworks, propensity models, or other advanced analytics used to drive revenue outcomes.
Strong understanding of GTM motions, sales funnel mechanics, segmentation and targeting, territory/quota design, pipeline generation, and churn/expansion dynamics.
Proven ability to communicate data and analysis clearly to senior leadership, using structured narratives and decision‑ready insights.
Bachelor’s degree in data science, statistics, mathematics, economics, engineering, business, or related field; advanced degree (MS/PhD) preferred.
Preferred
Experience with experimentation frameworks (A/B testing, causal inference, uplift modeling).
Familiarity with modern data stacks (dbt, Snowflake, Looker, etc.).
Background supporting high‑velocity enterprise or cloud infrastructure GTM teams.
Wondering if you’re a good fit?
You love uncovering insights in messy datasets and turning them into strategic action.
You’re curious about how GTM engines work and how data can unlock revenue growth.
You’re an expert in building models that meaningfully shape business decisions.
Why CoreWeave At CoreWeave, we work hard, have fun, and move fast. We’re in an exciting stage of hyper‑growth you won’t want to miss. Our culture reflects these core values:
Be Curious at Your Core
Act Like an Owner
Empower Employees
Deliver Best‑in‑Class Client Experiences
Achieve More Together
What We Offer The base salary range for this role is $135,000 to $198,000. The starting salary will be determined based on job‑related knowledge, skills, experience, and market location. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
Benefits include:
Medical, dental, and vision insurance – 100% paid by CoreWeave
Company‑paid life insurance
Voluntary supplemental life insurance
Short‑ and long‑term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Employee Stock Purchase Program participation
Mental wellness benefits through Spring Health
Family‑forming support via 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
Cultural focus on innovative disruption
A casual work environment
Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.
Export Control Compliance Applicants must be U.S. persons and eligible to access export‑controlled information without requiring export authorization. CoreWeave may decline to pursue export licensing for legitimate business reasons.
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 our commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will provide reasonable accommodations for qualified applicants and candidates with disabilities, unless such accommodations would cause undue hardship. If needed, please contact careers@coreweave.com.
California consumers are subject to the California Consumer Privacy Act. Only California applicants are eligible to apply.
#J-18808-Ljbffr
About the Team The Sales Operations & GTM Analytics team empowers our Sales, Revenue Operations, Marketing, and Finance organizations with the data, insights, and frameworks required to accelerate growth. We build the analytical foundation that informs strategy, optimizes execution, and ensures every customer‑facing motion is guided by accurate, timely, and actionable intelligence.
About the Role As a Senior Data Scientist, Sales Operations, you will shape commercial strategy and enable data‑driven decision making across the GTM organization. You will architect the data foundations for Sales, build advanced analytical and machine‑learning models, and translate complex datasets into clear, strategic insights that guide forecasting, planning, segmentation, quota design, and GTM investments.
What You’ll Do
Partner with Sales, Revenue Operations, Marketing, and Finance to define the data foundation for GTM, including instrumentation, metric definitions, pipelines, dashboards, and reporting.
Design, build, and maintain scalable data models and statistical/ML frameworks (e.g., segmentation, lead scoring, win/loss analysis, churn prediction, propensity modeling).
Transform complex datasets into actionable commercial insights, identifying growth levers, bottlenecks, competitive dynamics, and customer behavior patterns and convert them into strategic recommendations.
Lead GTM planning cycles: develop forecasting models, scenario planning, what‑if analyses, target‑setting methodologies, and playbooks.
Produce executive‑level reporting and communicate insights and recommendations clearly to senior leadership and cross‑functional stakeholders.
Partner with data engineering/analytics teams to ensure data integrity, governance, and readiness for advanced analytics; uphold best practices in modeling, documentation, and reproducibility.
Drive experimentation: design A/B tests, pilots, and measurement frameworks for new GTM initiatives, product launches, and sales motions.
Own the end‑to‑end analytics lifecycle: data collection → modeling → insight generation → strategy → execution → measurement.
Mentor junior data scientists, analytics engineers, and BI professionals; help cultivate a data‑driven culture within Sales Operations.
Who You Are
6–10+ years of experience in data science, sales operations analytics, business intelligence, or commercial strategy roles within SaaS, cloud, infrastructure, or high‑growth technology environments.
Expertise with SQL, Python/R, large‑scale datasets, statistical modeling, machine‑learning methods, and data visualization tools.
Demonstrated ability to translate analytical outputs into strategic GTM recommendations and influence Sales/RevOps leadership.
Experience building forecasting models, segmentation frameworks, propensity models, or other advanced analytics used to drive revenue outcomes.
Strong understanding of GTM motions, sales funnel mechanics, segmentation and targeting, territory/quota design, pipeline generation, and churn/expansion dynamics.
Proven ability to communicate data and analysis clearly to senior leadership, using structured narratives and decision‑ready insights.
Bachelor’s degree in data science, statistics, mathematics, economics, engineering, business, or related field; advanced degree (MS/PhD) preferred.
Preferred
Experience with experimentation frameworks (A/B testing, causal inference, uplift modeling).
Familiarity with modern data stacks (dbt, Snowflake, Looker, etc.).
Background supporting high‑velocity enterprise or cloud infrastructure GTM teams.
Wondering if you’re a good fit?
You love uncovering insights in messy datasets and turning them into strategic action.
You’re curious about how GTM engines work and how data can unlock revenue growth.
You’re an expert in building models that meaningfully shape business decisions.
Why CoreWeave At CoreWeave, we work hard, have fun, and move fast. We’re in an exciting stage of hyper‑growth you won’t want to miss. Our culture reflects these core values:
Be Curious at Your Core
Act Like an Owner
Empower Employees
Deliver Best‑in‑Class Client Experiences
Achieve More Together
What We Offer The base salary range for this role is $135,000 to $198,000. The starting salary will be determined based on job‑related knowledge, skills, experience, and market location. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
Benefits include:
Medical, dental, and vision insurance – 100% paid by CoreWeave
Company‑paid life insurance
Voluntary supplemental life insurance
Short‑ and long‑term disability insurance
Flexible Spending Account
Health Savings Account
Tuition Reimbursement
Employee Stock Purchase Program participation
Mental wellness benefits through Spring Health
Family‑forming support via 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
Cultural focus on innovative disruption
A casual work environment
Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.
Export Control Compliance Applicants must be U.S. persons and eligible to access export‑controlled information without requiring export authorization. CoreWeave may decline to pursue export licensing for legitimate business reasons.
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 our commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will provide reasonable accommodations for qualified applicants and candidates with disabilities, unless such accommodations would cause undue hardship. If needed, please contact careers@coreweave.com.
California consumers are subject to the California Consumer Privacy Act. Only California applicants are eligible to apply.
#J-18808-Ljbffr