Ramp
Data Scientist
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · New York, NY (HQ)
Employer listed it 4 months ago · Added 4 days ago
Been open since 4 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$137,120 to $297,330
Location
Hybrid · New York, NY (HQ)
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around New York, NY (HQ), San Francisco, CA, Remote (US), Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "New York, NY (HQ), San Francisco, CA, Remote (US), Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
- ·Centralized home-office equipment ordering
- ·Health and wellness stipend
- ·Budget for intra-office travel
- ·Weekly coffee stipend
- ·100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Ramp, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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Free to apply, no account needed.
$137,120 to $297,330 · You'll be taken to the employer's careers page.