数据科学家
Data Scientist
ABOUT RAMP
Ramp 正在构建金融团队的智能基础设施，嵌入企业每一笔支出的交易流程中。我们自动化处理超过 2000 亿美元的年支出，在 70,000 多家企业中流动：授权支付、标记风险、分类支出以及结账。
这些问题高风险、数据密集且不容错误。
我们招聘具有高度自主性和紧迫感的人才。我们更看重的是你所具备的斜率而非截距。我们不太关注你在哪里接受培训，而更关注你做过什么。在 Ramp，每个人都是问题的负责人，能够从头到尾解决并做出影响结果的重要决策。
Ramp 的平均客户在第一年节省了 5%，营收增长了 16%——远超没有使用 Ramp 的企业。我们相信每家有抱负的企业都应享有同样的机会。
如果你希望构建直接塑造公司如何移动和管理数十亿美元的系统，Ramp 就是你的选择。
ABOUT THE ROLE
我们正在寻找一位能够帮助引领 Ramp 分析未来的人。这个人将通过开发数据产品和洞察力，使 Ramp 每天进步 1%。他们将与业务相关方以及产品、工程和设计团队紧密合作，优先处理并执行工作，改进报告，并推动结果和流程改进。
WHAT YOU’LL DO
- 全栈开发，构建模型以消费、转换并为利益相关者和生产系统提供数据
- 推动实验设计文化、测试议程和最佳实践
- 通过影响流程、工具和系统来为 Ramp 数据团队的文化做出贡献，使我们能够以可扩展的方式做出更好的决策
- 与 P/E/D/D（产品、工程、数据和设计）团队协作，制定产品路线图并衡量成功
- 与数据工程团队紧密合作，捕获、移动、存储和转换原始数据为高度可操作的洞察力，并与业务团队合作将这些洞察力转化为行动
WHAT YOU NEED
- 至少 4 年的数据科学家行业经验
- 精通 SQL（最好是 Redshift、Snowflake、BigQuery），并能编写高效的 SQL 查询
- 熟悉 BI 工具（最好是 Looker、Omni、Sigma、Hex 或等效工具），并有通过报告和仪表板分发数据洞察的经验
- 在大规模上交付高质量产品和功能的记录
- 能够在快节奏、持续变化的环境中茁壮成长
查看英文原文
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
We’re looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design counterparts to prioritize and execute on work, improve reporting, as well as drive results and process improvements.
WHAT YOU’LL DO
- Full stack development, building models to consume, transform, and expose data to stakeholders and production systems
- Drive a culture of experimental design, testing agenda, and best practices
- Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
- Collaborate with P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success
- Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action
WHAT YOU NEED
- Minimum of 4 years of industry experience as a Data Scientist
- Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
- Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
- Track record of shipping high quality products and features at scale
- Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
NICE-TO-HAVES
- Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
- Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
- Experience within the payments and financial technology space
- Familiarity with B2B enterprise sales cycle metrics and processes
ABOUT OUR TEAMS
- Product Data | Ramp’s Product Data team is responsible for delivering data products and insights that shape Ramp’s product direction and unlock business value. The Product Analytics team is also responsible for building out the platform through which new products are launched, instrumented, tested, and QA’d. The team embeds deeply as a partner to engineering, product, and design.
- Risk & Capital Markets Data | Ramp’s Risk Data team is responsible for how risk is evaluated, and building the risk infrastructure to scale to millions of businesses in the United States. Areas include risk operations and underwriting, limit setting and pricing across financial products as well as fraud detection, regulatory reporting, and capital market relationships.
- Growth Data | Ramp's Growth Data team ships data products and insights that allow Ramp to acquire new business and expand existing business and partnerships at scale. Current areas of focus include: Web & Martech, Outbound Automation, Customer Data Platform, Self-Service Product, GTM Strategic Finance, and Business Systems.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice