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CoreWeave · 6 hours ago

Senior Data Scientist, Sales Operations

Bellevue, WA

Full-time

Hybrid

Senior Level

$135K/yr - $198K/yr

6+ years exp

CoreWeave is The Essential Cloud for AI™, delivering a platform of technology and tools that enables innovators to build and scale AI with confidence. As a Senior Data Scientist in Sales Operations, you will shape commercial strategy and enable data-driven decision making across the GTM organization by architecting data foundations and building advanced analytical models.

Artificial Intelligence (AI)Cloud ComputingCloud InfrastructureInformation TechnologyMachine Learning

No H1B

U.S. Citizen Only

Responsibilities

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

Qualification

Data scienceMachine learningSQLStatistical modelingPython/RData visualizationForecasting modelsSegmentation frameworksGTM strategyCommunication skillsMentoringCollaboration

Required

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