Data Scientist

Ramp Business Corporation

Job Overview

Location

New York, NY (HQ)

Job Type

Full-time

Full Job Description

📋 Description

• Build and deploy machine learning models and data products that consume, transform, and expose data to stakeholders and production systems to drive business decisions at scale
• Partner with product, engineering, design, and business teams to prioritize, execute, and measure the impact of data-driven initiatives across Ramp’s core functions
• Lead the development of experimental design frameworks, testing agendas, and best practices to institutionalize a culture of data-driven decision-making
• Collaborate with data engineering teams to capture, store, and transform raw data into actionable insights that inform product development, risk evaluation, and growth strategies
• Design and distribute dashboards, reports, and analytics platforms using BI tools to enable teams to monitor KPIs, track performance, and identify optimization opportunities
• Own end-to-end delivery of data products—from ideation and modeling to deployment and iteration—ensuring scalability, accuracy, and usability across the organization
• Influence the evolution of Ramp’s data infrastructure by contributing to tooling, processes, and systems that improve data quality, accessibility, and governance
• Translate complex financial and operational data into clear insights that directly impact customer spend behavior, fraud detection, underwriting, and revenue growth
• Work within high-stakes, data-dense environments where accuracy and speed are critical to maintaining trust and compliance in financial operations
• Embed deeply within Product Data, Risk & Capital Markets Data, or Growth Data teams to deliver insights that shape product roadmaps, improve customer acquisition, and optimize financial risk models
• Drive process improvements by identifying inefficiencies in data workflows and implementing automated, scalable solutions that reduce manual effort and increase reliability
• Maintain rigorous standards for data quality, version control, documentation, and testing in analytics engineering pipelines to ensure reproducibility and auditability
• Communicate technical findings to non-technical stakeholders through compelling visualizations, narratives, and presentations that drive alignment and action
• Contribute to Ramp’s culture of high agency and urgency by owning problems end-to-end and making consequential decisions that impact billions in annualized spend

🎯 Requirements

• Minimum of 4 years of industry experience as a Data Scientist
• Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and ability to write efficient, scalable queries
• Familiarity with BI tools (Looker, Omni, Sigma, Hex or equivalent) and experience distributing insights via reports and dashboards
• Track record of shipping high-quality data products and features at scale
• Ability to thrive in a fast-paced, startup environment focused on iterative technical solutions

🏖️ Benefits

• Flexible PTO
• Unlimited AI token usage
• Centralized home-office equipment ordering
• Health and wellness stipend
• Budget for intra-office travel
• Weekly coffee stipend
• 100% medical, dental & vision insurance coverage for employees (US)
• 401(k) with employer match (US)
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay (US, Canada, UK)
• Fertility HRA up to $10,000/year (US) or fertility drug coverage up to $4,000 lifetime (Canada)
• Pet insurance (US)
• Private medical insurance (UK)
• Workplace pension with salary sacrifice option (UK)
• Relocation support to NYC or SF (as needed)
• In-office perks: lunch, snacks, drinks (US)
• Employee Assistance Program and virtual care (Canada)
• Group medical, dental, and vision coverage (Canada)
• Life, AD&D, and disability coverage (Canada)
• Virtual GP and at-home care via eMed x Livi (UK)

Skills & Technologies

Data Science

Onsite

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Ramp Business Corporation

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About Ramp Business Corporation

Ramp Business Corporation provides corporate finance automation software that combines corporate cards, expense management, bill payments, accounting integrations and procurement controls into one platform. The company issues physical and virtual cards, captures receipts via OCR, enforces spend policies, and offers real-time analytics to reduce costs. Founded in 2019 and headquartered in New York City, it serves businesses from startups to large enterprises, focusing on replacing legacy expense systems with automated workflows. Ramp earns interchange revenue from card transactions and subscription fees from its software suite.

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