Senior Data Scientist, CoreWeave

• 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
• Wondering if you’re a good fit?
• We believe in investing in our people and value candidates who bring diverse experiences — even if you’re not a perfect match on every requirement. If some of the below describes you, we’d love to talk:
• 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

Desirable

• 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
• As a Senior Data Scientist, Sales Operations, you will play a pivotal role in shaping our commercial strategy and enabling 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
• Your work will directly guide forecasting, planning, segmentation, quota design, and GTM investments
• You’ll collaborate closely with cross-functional leaders and influence decisions at the highest levels
• 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